******************************************************************************* Tue May 7 10:26:38 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 7 10:27:37 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 7 10:41:59 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 7 10:44:08 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 7 10:46:04 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 7 10:47:10 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 7 10:49:15 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 12:22:47 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 12:23:42 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 12:29:57 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 12:39:04 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 12:39:30 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 12:40:00 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 12:46:09 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 12:46:22 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 12:47:55 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 12:52:05 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 12:54:12 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 12:55:23 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 13:02:21 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 13:04:30 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 13:04:41 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 13:08:07 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 13:08:19 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 13:09:07 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 9 13:09:55 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 09:46:17 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 09:50:30 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 09:52:07 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:04:53 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:09:08 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:25:01 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:25:56 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:27:42 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:28:40 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:32:07 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:34:10 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:35:21 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:37:12 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:39:11 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:40:34 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:41:48 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:42:49 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:43:51 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:45:31 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:47:16 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:49:10 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:51:24 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:54:14 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:56:37 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 10:58:23 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:11:39 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:17:54 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:19:42 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:23:01 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:25:22 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:27:17 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:28:40 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:29:52 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:31:42 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:33:14 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:35:10 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:41:31 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:41:45 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:46:52 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:47:03 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:48:30 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:48:40 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 11:49:53 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:19:08 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:19:26 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:21:49 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:22:02 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:29:10 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:30:35 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:33:02 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:42:59 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:43:16 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:44:50 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:48:53 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:50:35 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:50:48 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:58:19 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:58:34 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 16:59:35 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri May 10 17:00:45 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Nov 11 19:54:06 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Nov 11 19:54:37 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Nov 11 19:54:55 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Nov 11 19:55:16 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Nov 11 19:55:40 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Dec 13 23:31:52 2019 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Jan 10 22:54:14 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 10:41:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 10:45:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 10:45:32 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 10:45:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 10:46:20 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 10:46:56 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 10:47:26 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 10:49:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 10:50:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 10:57:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 10:57:45 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 11:30:11 2020 FIT: data read from 'data.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.1041776183e+04 0.00e+00 3.77e+01 1.000000e+00 1.000000e+00 4 9.4829684276e-02 -5.30e-02 3.77e-03 -5.890438e-04 8.390988e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0948297 rel. change during last iteration : -5.29798e-07 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0706473 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00499104 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000589044 +/- 0.001247 (211.7%) b = 0.839099 +/- 0.01052 (1.253%) correlation matrix of the fit parameters: a b a 1.000 b -0.972 1.000 ******************************************************************************* Thu Mar 12 11:30:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 11:31:02 2020 FIT: data read from 'data.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 8.1592400000e+01 0.00e+00 4.49e+00 1.000000e+00 1.000000e+00 4 7.8095328342e-02 -6.86e-04 4.49e-04 8.417993e-01 -5.550978e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0780953 rel. change during last iteration : -6.86382e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0641115 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00411028 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.841799 +/- 0.004247 (0.5045%) b = -0.0555098 +/- 0.02664 (47.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.851 1.000 ******************************************************************************* Thu Mar 12 11:31:03 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 11:34:01 2020 FIT: data read from 'data.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 8.1592400000e+01 0.00e+00 4.49e+00 1.000000e+00 1.000000e+00 4 7.8095328342e-02 -6.86e-04 4.49e-04 8.417993e-01 -5.550978e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0780953 rel. change during last iteration : -6.86382e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0641115 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00411028 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.841799 +/- 0.004247 (0.5045%) b = -0.0555098 +/- 0.02664 (47.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.851 1.000 ******************************************************************************* Thu Mar 12 11:34:02 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 20:59:57 2020 FIT: data read from 'data1.txt' index 0 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8072000000e+01 0.00e+00 5.30e+00 1.000000e+00 1.000000e+00 4 1.8998201636e-02 -3.78e-02 5.30e-04 8.449444e-01 -5.512529e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0189982 rel. change during last iteration : -3.78052e-07 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0415585 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00172711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.844944 +/- 0.002791 (0.3303%) b = -0.0551253 +/- 0.02075 (37.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.832 1.000 ******************************************************************************* Thu Mar 12 20:59:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:05:38 2020 FIT: data read from 'data1.txt' index 0 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8072000000e+01 0.00e+00 5.30e+00 1.000000e+00 1.000000e+00 4 1.8998201636e-02 -3.78e-02 5.30e-04 8.449444e-01 -5.512529e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0189982 rel. change during last iteration : -3.78052e-07 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0415585 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00172711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.844944 +/- 0.002791 (0.3303%) b = -0.0551253 +/- 0.02075 (37.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.832 1.000 ******************************************************************************* Thu Mar 12 21:05:39 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:07:30 2020 FIT: data read from 'data1.txt' index 0 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8072000000e+01 0.00e+00 5.30e+00 1.000000e+00 1.000000e+00 4 1.8998201636e-02 -3.78e-02 5.30e-04 8.449444e-01 -5.512529e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0189982 rel. change during last iteration : -3.78052e-07 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0415585 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00172711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.844944 +/- 0.002791 (0.3303%) b = -0.0551253 +/- 0.02075 (37.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.832 1.000 ******************************************************************************* Thu Mar 12 21:07:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:09:24 2020 FIT: data read from 'data1.txt' index 0 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8072000000e+01 0.00e+00 5.30e+00 1.000000e+00 1.000000e+00 4 1.8998201636e-02 -3.78e-02 5.30e-04 8.449444e-01 -5.512529e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0189982 rel. change during last iteration : -3.78052e-07 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0415585 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00172711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.844944 +/- 0.002791 (0.3303%) b = -0.0551253 +/- 0.02075 (37.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.832 1.000 ******************************************************************************* Thu Mar 12 21:09:24 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:11:12 2020 FIT: data read from 'data1.txt' index 0 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8072000000e+01 0.00e+00 5.30e+00 1.000000e+00 1.000000e+00 4 1.8998201636e-02 -3.78e-02 5.30e-04 8.449444e-01 -5.512529e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0189982 rel. change during last iteration : -3.78052e-07 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0415585 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00172711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.844944 +/- 0.002791 (0.3303%) b = -0.0551253 +/- 0.02075 (37.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.832 1.000 ******************************************************************************* Thu Mar 12 21:11:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:12:03 2020 FIT: data read from 'data1.txt' index 0 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8072000000e+01 0.00e+00 5.30e+00 1.000000e+00 1.000000e+00 4 1.8998201636e-02 -3.78e-02 5.30e-04 8.449444e-01 -5.512529e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0189982 rel. change during last iteration : -3.78052e-07 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0415585 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00172711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.844944 +/- 0.002791 (0.3303%) b = -0.0551253 +/- 0.02075 (37.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.832 1.000 ******************************************************************************* Thu Mar 12 21:12:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:12:27 2020 FIT: data read from 'data1.txt' index 0 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8072000000e+01 0.00e+00 5.30e+00 1.000000e+00 1.000000e+00 4 1.8998201636e-02 -3.78e-02 5.30e-04 8.449444e-01 -5.512529e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0189982 rel. change during last iteration : -3.78052e-07 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0415585 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00172711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.844944 +/- 0.002791 (0.3303%) b = -0.0551253 +/- 0.02075 (37.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.832 1.000 ******************************************************************************* Thu Mar 12 21:12:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:12:56 2020 FIT: data read from 'data1.txt' index 0 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8072000000e+01 0.00e+00 5.30e+00 1.000000e+00 1.000000e+00 4 1.8998201636e-02 -3.78e-02 5.30e-04 8.449444e-01 -5.512529e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0189982 rel. change during last iteration : -3.78052e-07 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0415585 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00172711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.844944 +/- 0.002791 (0.3303%) b = -0.0551253 +/- 0.02075 (37.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.832 1.000 ******************************************************************************* Thu Mar 12 21:12:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:13:29 2020 FIT: data read from 'data1.txt' index 0 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8072000000e+01 0.00e+00 5.30e+00 1.000000e+00 1.000000e+00 4 1.8998201636e-02 -3.78e-02 5.30e-04 8.449444e-01 -5.512529e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0189982 rel. change during last iteration : -3.78052e-07 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0415585 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00172711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.844944 +/- 0.002791 (0.3303%) b = -0.0551253 +/- 0.02075 (37.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.832 1.000 ******************************************************************************* Thu Mar 12 21:13:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:14:08 2020 FIT: data read from 'data1.txt' index 0 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8072000000e+01 0.00e+00 5.30e+00 1.000000e+00 1.000000e+00 4 1.8998201636e-02 -3.78e-02 5.30e-04 8.449444e-01 -5.512529e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0189982 rel. change during last iteration : -3.78052e-07 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0415585 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00172711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.844944 +/- 0.002791 (0.3303%) b = -0.0551253 +/- 0.02075 (37.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.832 1.000 ******************************************************************************* Thu Mar 12 21:14:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:22:13 2020 FIT: data read from 'data2.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 8.4274600000e+01 0.00e+00 5.68e+00 1.000000e+00 1.000000e+00 4 1.7929599919e-02 -6.64e-02 5.68e-04 8.420628e-01 -4.112847e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0179296 rel. change during last iteration : -6.64059e-07 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0345732 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00119531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.842063 +/- 0.002158 (0.2563%) b = -0.0411285 +/- 0.0172 (41.81%) correlation matrix of the fit parameters: a b a 1.000 b -0.873 1.000 ******************************************************************************* Thu Mar 12 21:22:14 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:22:39 2020 FIT: data read from 'data2.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 8.4274600000e+01 0.00e+00 5.68e+00 1.000000e+00 1.000000e+00 4 1.7929599919e-02 -6.64e-02 5.68e-04 8.420628e-01 -4.112847e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0179296 rel. change during last iteration : -6.64059e-07 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0345732 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00119531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.842063 +/- 0.002158 (0.2563%) b = -0.0411285 +/- 0.0172 (41.81%) correlation matrix of the fit parameters: a b a 1.000 b -0.873 1.000 ******************************************************************************* Thu Mar 12 21:22:40 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:28:28 2020 FIT: data read from 'data3.txt' index 0 u 1:2 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.1818900000e+01 0.00e+00 5.51e+00 1.000000e+00 1.000000e+00 4 2.0874306610e-02 -4.27e-02 5.51e-04 8.408032e-01 -4.307561e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0208743 rel. change during last iteration : -4.26961e-07 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0400714 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00160572 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.840803 +/- 0.002563 (0.3049%) b = -0.0430756 +/- 0.0198 (45.96%) correlation matrix of the fit parameters: a b a 1.000 b -0.853 1.000 ******************************************************************************* Thu Mar 12 21:28:29 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:31:18 2020 FIT: data read from 'data3.txt' index 0 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5499440000e+02 0.00e+00 7.15e+00 1.000000e+00 1.000000e+00 4 4.5912817383e-02 -1.42e-01 7.15e-04 5.917062e-01 -6.864185e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0459128 rel. change during last iteration : -1.42339e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0618552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00382607 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.591706 +/- 0.00298 (0.5037%) b = -0.0686418 +/- 0.02999 (43.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.834 1.000 ******************************************************************************* Thu Mar 12 21:31:19 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:33:42 2020 FIT: data read from 'data3.txt' index 0 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5499440000e+02 0.00e+00 7.15e+00 1.000000e+00 1.000000e+00 4 4.5912817383e-02 -1.42e-01 7.15e-04 5.917062e-01 -6.864185e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0459128 rel. change during last iteration : -1.42339e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0618552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00382607 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.591706 +/- 0.00298 (0.5037%) b = -0.0686418 +/- 0.02999 (43.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.834 1.000 ******************************************************************************* Thu Mar 12 21:33:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:34:09 2020 FIT: data read from 'data3.txt' index 0 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.5915440000e+02 0.00e+00 4.23e+00 1.000000e+00 1.000000e+00 4 1.3109600197e-01 -5.75e-04 4.23e-04 1.689513e+00 1.185269e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.131096 rel. change during last iteration : -5.74609e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.104521 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0109247 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.68951 +/- 0.00851 (0.5037%) b = 0.118527 +/- 0.05019 (42.34%) correlation matrix of the fit parameters: a b a 1.000 b -0.831 1.000 ******************************************************************************* Thu Mar 12 21:34:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:34:37 2020 FIT: data read from 'data2.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.7546000000e+00 0.00e+00 4.77e+00 1.000000e+00 1.000000e+00 4 2.5283599051e-02 -9.92e-03 4.77e-04 1.187443e+00 4.952297e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0252836 rel. change during last iteration : -9.92124e-08 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0410557 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00168557 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.18744 +/- 0.003043 (0.2563%) b = 0.049523 +/- 0.02031 (41.01%) correlation matrix of the fit parameters: a b a 1.000 b -0.872 1.000 ******************************************************************************* Thu Mar 12 21:34:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:41:31 2020 FIT: data read from 'data3.txt' index 0 u 2:1 format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9824500000e+02 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 1.1445000000e+01 -9.45e-02 7.16e-05 4.660000e+01 1.620000e+00 After 4 iterations the fit converged. final sum of squares of residuals : 11.445 rel. change during last iteration : -9.45427e-07 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.38112 variance of residuals (reduced chisquare) = WSSR/ndf : 1.9075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 46.6 +/- 9.766 (20.96%) b = 1.62 +/- 1.544 (95.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.949 1.000 ******************************************************************************* Thu Mar 12 21:41:32 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:42:00 2020 FIT: data read from 'data3.txt' index 0 u 2:1 format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9824500000e+02 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 1.1445000000e+01 -9.45e-02 7.16e-05 4.660000e+01 1.620000e+00 After 4 iterations the fit converged. final sum of squares of residuals : 11.445 rel. change during last iteration : -9.45427e-07 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.38112 variance of residuals (reduced chisquare) = WSSR/ndf : 1.9075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 46.6 +/- 9.766 (20.96%) b = 1.62 +/- 1.544 (95.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.949 1.000 ******************************************************************************* Thu Mar 12 21:42:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:44:32 2020 FIT: data read from 'data3.txt' index 0 u 2:1 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.6006950000e+02 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 2.8573333333e+00 -3.18e-01 7.16e-05 3.036667e+01 5.200000e+00 After 4 iterations the fit converged. final sum of squares of residuals : 2.85733 rel. change during last iteration : -3.18355e-06 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.845182 variance of residuals (reduced chisquare) = WSSR/ndf : 0.714333 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3667 +/- 6.901 (22.73%) b = 5.2 +/- 1.091 (20.98%) correlation matrix of the fit parameters: a b a 1.000 b -0.949 1.000 ******************************************************************************* Thu Mar 12 21:44:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:45:17 2020 FIT: data read from 'data2.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.7546000000e+00 0.00e+00 4.77e+00 1.000000e+00 1.000000e+00 4 2.5283599051e-02 -9.92e-03 4.77e-04 1.187443e+00 4.952297e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0252836 rel. change during last iteration : -9.92124e-08 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0410557 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00168557 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.18744 +/- 0.003043 (0.2563%) b = 0.049523 +/- 0.02031 (41.01%) correlation matrix of the fit parameters: a b a 1.000 b -0.872 1.000 ******************************************************************************* Thu Mar 12 21:45:17 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:47:52 2020 FIT: data read from 'data4.txt' index 0 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.2498531000e+03 0.00e+00 1.12e+01 1.000000e+00 1.000000e+00 5 2.0003271158e-03 -1.03e-07 1.12e-04 4.543472e-01 4.194874e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00200033 rel. change during last iteration : -1.0257e-12 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.012911 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000166694 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.454347 +/- 0.0004152 (0.09139%) b = 0.0419487 +/- 0.00656 (15.64%) correlation matrix of the fit parameters: a b a 1.000 b -0.850 1.000 ******************************************************************************* Thu Mar 12 21:47:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:51:41 2020 FIT: data read from 'data4.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1357919000e+03 0.00e+00 1.02e+01 1.000000e+00 1.000000e+00 5 1.0159223692e-02 -6.86e-09 1.02e-04 4.555843e-01 2.676321e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.0101592 rel. change during last iteration : -6.86429e-14 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0279549 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000781479 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.455584 +/- 0.0009122 (0.2002%) b = 0.0267632 +/- 0.01319 (49.28%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 12 21:51:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:52:07 2020 FIT: data read from 'data4.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1357919000e+03 0.00e+00 1.02e+01 1.000000e+00 1.000000e+00 5 1.0159223692e-02 -6.86e-09 1.02e-04 4.555843e-01 2.676321e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.0101592 rel. change during last iteration : -6.86429e-14 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0279549 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000781479 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.455584 +/- 0.0009122 (0.2002%) b = 0.0267632 +/- 0.01319 (49.28%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 12 21:52:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 12 21:53:03 2020 FIT: data read from 'data4.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1357919000e+03 0.00e+00 1.02e+01 1.000000e+00 1.000000e+00 5 1.0159223692e-02 -6.86e-09 1.02e-04 4.555843e-01 2.676321e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.0101592 rel. change during last iteration : -6.86429e-14 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0279549 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000781479 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.455584 +/- 0.0009122 (0.2002%) b = 0.0267632 +/- 0.01319 (49.28%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 12 21:53:03 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 16 21:42:42 2020 FIT: data read from 'data5.txt' index 0 u 2:1 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0806413000e+03 0.00e+00 1.08e+01 1.000000e+00 1.000000e+00 5 5.7518123193e-03 -2.71e-08 1.08e-04 4.558859e-01 1.748902e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00575181 rel. change during last iteration : -2.70984e-13 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0228668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000522892 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.455886 +/- 0.0007684 (0.1686%) b = 0.017489 +/- 0.01169 (66.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.840 1.000 ******************************************************************************* Mon Mar 16 21:42:42 2020 FIT: data read from 'data5.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.6861000000e+00 0.00e+00 4.02e+00 1.000000e+00 1.000000e+00 4 5.1096636987e-02 -4.40e-04 4.02e-04 1.182126e+00 9.043256e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0510966 rel. change during last iteration : -4.39821e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0626938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00393051 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.18213 +/- 0.004863 (0.4114%) d = 0.0904326 +/- 0.02722 (30.1%) correlation matrix of the fit parameters: c d c 1.000 d -0.804 1.000 ******************************************************************************* Mon Mar 16 21:42:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 16 21:44:16 2020 FIT: data read from 'data5.txt' index 0 u 2:1 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0806413000e+03 0.00e+00 1.08e+01 1.000000e+00 1.000000e+00 5 5.7518123193e-03 -2.71e-08 1.08e-04 4.558859e-01 1.748902e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00575181 rel. change during last iteration : -2.70984e-13 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0228668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000522892 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.455886 +/- 0.0007684 (0.1686%) b = 0.017489 +/- 0.01169 (66.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.840 1.000 ******************************************************************************* Mon Mar 16 21:44:16 2020 FIT: data read from 'data5.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.6861000000e+00 0.00e+00 4.02e+00 1.000000e+00 1.000000e+00 4 5.1096636987e-02 -4.40e-04 4.02e-04 1.182126e+00 9.043256e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0510966 rel. change during last iteration : -4.39821e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0626938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00393051 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.18213 +/- 0.004863 (0.4114%) d = 0.0904326 +/- 0.02722 (30.1%) correlation matrix of the fit parameters: c d c 1.000 d -0.804 1.000 ******************************************************************************* Mon Mar 16 21:44:16 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 16 21:47:31 2020 FIT: data read from 'data5.txt' index 0 u 2:1 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0806413000e+03 0.00e+00 1.08e+01 1.000000e+00 1.000000e+00 5 5.7518123193e-03 -2.71e-08 1.08e-04 4.558859e-01 1.748902e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00575181 rel. change during last iteration : -2.70984e-13 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0228668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000522892 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.455886 +/- 0.0007684 (0.1686%) b = 0.017489 +/- 0.01169 (66.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.840 1.000 ******************************************************************************* Mon Mar 16 21:47:31 2020 FIT: data read from 'data5.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.6861000000e+00 0.00e+00 4.02e+00 1.000000e+00 1.000000e+00 4 5.1096636987e-02 -4.40e-04 4.02e-04 1.182126e+00 9.043256e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0510966 rel. change during last iteration : -4.39821e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0626938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00393051 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.18213 +/- 0.004863 (0.4114%) d = 0.0904326 +/- 0.02722 (30.1%) correlation matrix of the fit parameters: c d c 1.000 d -0.804 1.000 ******************************************************************************* Mon Mar 16 21:47:32 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 16 21:48:01 2020 FIT: data read from 'data5.txt' index 0 u 2:1 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0806413000e+03 0.00e+00 1.08e+01 1.000000e+00 1.000000e+00 5 5.7518123193e-03 -2.71e-08 1.08e-04 4.558859e-01 1.748902e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00575181 rel. change during last iteration : -2.70984e-13 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0228668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000522892 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.455886 +/- 0.0007684 (0.1686%) b = 0.017489 +/- 0.01169 (66.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.840 1.000 ******************************************************************************* Mon Mar 16 21:48:01 2020 FIT: data read from 'data5.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.6861000000e+00 0.00e+00 4.02e+00 1.000000e+00 1.000000e+00 4 5.1096636987e-02 -4.40e-04 4.02e-04 1.182126e+00 9.043256e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0510966 rel. change during last iteration : -4.39821e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0626938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00393051 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.18213 +/- 0.004863 (0.4114%) d = 0.0904326 +/- 0.02722 (30.1%) correlation matrix of the fit parameters: c d c 1.000 d -0.804 1.000 ******************************************************************************* Mon Mar 16 21:48:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 16 21:56:09 2020 FIT: data read from 'data5.txt' index 0 u 2:1 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0806413000e+03 0.00e+00 1.08e+01 1.000000e+00 1.000000e+00 5 5.7518123193e-03 -2.71e-08 1.08e-04 4.558859e-01 1.748902e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00575181 rel. change during last iteration : -2.70984e-13 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0228668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000522892 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.455886 +/- 0.0007684 (0.1686%) b = 0.017489 +/- 0.01169 (66.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.840 1.000 ******************************************************************************* Mon Mar 16 21:56:09 2020 FIT: data read from 'data5.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.6861000000e+00 0.00e+00 4.02e+00 1.000000e+00 1.000000e+00 4 5.1096636987e-02 -4.40e-04 4.02e-04 1.182126e+00 9.043256e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0510966 rel. change during last iteration : -4.39821e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0626938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00393051 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.18213 +/- 0.004863 (0.4114%) d = 0.0904326 +/- 0.02722 (30.1%) correlation matrix of the fit parameters: c d c 1.000 d -0.804 1.000 ******************************************************************************* Mon Mar 16 21:56:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 16 21:57:44 2020 FIT: data read from 'data5.txt' index 0 u 2:1 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0806413000e+03 0.00e+00 1.08e+01 1.000000e+00 1.000000e+00 5 5.7518123193e-03 -2.71e-08 1.08e-04 4.558859e-01 1.748902e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00575181 rel. change during last iteration : -2.70984e-13 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0228668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000522892 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.455886 +/- 0.0007684 (0.1686%) b = 0.017489 +/- 0.01169 (66.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.840 1.000 ******************************************************************************* Mon Mar 16 21:57:44 2020 FIT: data read from 'data5.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.6861000000e+00 0.00e+00 4.02e+00 1.000000e+00 1.000000e+00 4 5.1096636987e-02 -4.40e-04 4.02e-04 1.182126e+00 9.043256e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0510966 rel. change during last iteration : -4.39821e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0626938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00393051 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.18213 +/- 0.004863 (0.4114%) d = 0.0904326 +/- 0.02722 (30.1%) correlation matrix of the fit parameters: c d c 1.000 d -0.804 1.000 ******************************************************************************* Mon Mar 16 21:57:45 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 16 22:00:09 2020 FIT: data read from 'data5.txt' index 0 u 2:1 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0806413000e+03 0.00e+00 1.08e+01 1.000000e+00 1.000000e+00 5 5.7518123193e-03 -2.71e-08 1.08e-04 4.558859e-01 1.748902e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00575181 rel. change during last iteration : -2.70984e-13 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0228668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000522892 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.455886 +/- 0.0007684 (0.1686%) b = 0.017489 +/- 0.01169 (66.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.840 1.000 ******************************************************************************* Mon Mar 16 22:00:09 2020 FIT: data read from 'data5.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.6861000000e+00 0.00e+00 4.02e+00 1.000000e+00 1.000000e+00 4 5.1096636987e-02 -4.40e-04 4.02e-04 1.182126e+00 9.043256e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0510966 rel. change during last iteration : -4.39821e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0626938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00393051 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.18213 +/- 0.004863 (0.4114%) d = 0.0904326 +/- 0.02722 (30.1%) correlation matrix of the fit parameters: c d c 1.000 d -0.804 1.000 ******************************************************************************* Mon Mar 16 22:00:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 16 22:00:49 2020 FIT: data read from 'data5.txt' index 0 u 2:1 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0806413000e+03 0.00e+00 1.08e+01 1.000000e+00 1.000000e+00 5 5.7518123193e-03 -2.71e-08 1.08e-04 4.558859e-01 1.748902e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00575181 rel. change during last iteration : -2.70984e-13 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0228668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000522892 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.455886 +/- 0.0007684 (0.1686%) b = 0.017489 +/- 0.01169 (66.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.840 1.000 ******************************************************************************* Mon Mar 16 22:00:49 2020 FIT: data read from 'data5.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.6861000000e+00 0.00e+00 4.02e+00 1.000000e+00 1.000000e+00 4 5.1096636987e-02 -4.40e-04 4.02e-04 1.182126e+00 9.043256e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0510966 rel. change during last iteration : -4.39821e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0626938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00393051 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.18213 +/- 0.004863 (0.4114%) d = 0.0904326 +/- 0.02722 (30.1%) correlation matrix of the fit parameters: c d c 1.000 d -0.804 1.000 ******************************************************************************* Mon Mar 16 22:00:50 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 16 22:06:37 2020 FIT: data read from 'data5.txt' index 0 u 2:1 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0806413000e+03 0.00e+00 1.08e+01 1.000000e+00 1.000000e+00 5 5.7518123193e-03 -2.71e-08 1.08e-04 4.558859e-01 1.748902e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00575181 rel. change during last iteration : -2.70984e-13 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0228668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000522892 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.455886 +/- 0.0007684 (0.1686%) b = 0.017489 +/- 0.01169 (66.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.840 1.000 ******************************************************************************* Mon Mar 16 22:06:37 2020 FIT: data read from 'data5.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.6861000000e+00 0.00e+00 4.02e+00 1.000000e+00 1.000000e+00 4 5.1096636987e-02 -4.40e-04 4.02e-04 1.182126e+00 9.043256e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0510966 rel. change during last iteration : -4.39821e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0626938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00393051 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.18213 +/- 0.004863 (0.4114%) d = 0.0904326 +/- 0.02722 (30.1%) correlation matrix of the fit parameters: c d c 1.000 d -0.804 1.000 ******************************************************************************* Mon Mar 16 22:06:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 18 19:15:30 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Wed Mar 18 19:15:30 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Wed Mar 18 19:15:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 18 19:16:50 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Wed Mar 18 19:16:50 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Wed Mar 18 19:16:50 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 18 19:21:03 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Wed Mar 18 19:21:03 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Wed Mar 18 19:21:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 18 19:21:44 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Wed Mar 18 19:21:44 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Wed Mar 18 19:21:45 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 18 19:27:30 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Wed Mar 18 19:27:30 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Wed Mar 18 19:27:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 18 19:27:50 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Wed Mar 18 19:27:50 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Wed Mar 18 19:27:51 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 18 19:44:42 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Wed Mar 18 19:44:42 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Wed Mar 18 19:44:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 18 19:47:00 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Wed Mar 18 19:47:00 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Wed Mar 18 19:47:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:26:27 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:26:27 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:26:28 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:26:52 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:35:16 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:36:35 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:36:35 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:36:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:40:43 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:40:43 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:40:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:44:38 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:44:38 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:44:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:44:58 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:44:58 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:44:59 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:45:19 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:45:19 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:45:20 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:47:20 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:47:20 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:47:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:47:41 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:47:41 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:47:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:47:58 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:47:58 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:47:59 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:54:57 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:54:57 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:54:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:55:59 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:55:59 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:56:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:56:19 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:56:19 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:56:20 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:56:44 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:56:44 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:56:45 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 10:57:01 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 10:57:01 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 10:57:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:00:29 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 11:00:29 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 11:00:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:00:49 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 11:00:49 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 11:00:50 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:01:12 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 11:01:12 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 11:01:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:01:30 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 11:01:30 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 11:01:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:01:52 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 11:01:52 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 11:01:52 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:02:12 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 11:02:12 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 11:02:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:02:25 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 11:02:25 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 11:02:26 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:02:39 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 11:02:39 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 11:02:40 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:02:55 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 11:02:55 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 11:02:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:03:14 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 11:03:14 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 11:03:15 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:03:46 2020 FIT: data read from 'data6.txt' index 0 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4085765100e+04 0.00e+00 2.56e+01 1.000000e+00 1.000000e+00 5 4.0834313260e-01 -9.91e-07 2.56e-04 1.721763e-01 2.007223e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.408343 rel. change during last iteration : -9.91292e-12 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.177232 variance of residuals (reduced chisquare) = WSSR/ndf : 0.031411 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.172176 +/- 0.002298 (1.335%) b = 0.200722 +/- 0.08321 (41.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.835 1.000 ******************************************************************************* Thu Mar 19 11:03:46 2020 FIT: data read from 'data6.txt' index 1 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.3223305100e+04 0.00e+00 4.61e+01 1.000000e+00 1.000000e+00 5 7.6442062180e-02 -8.69e-04 4.61e-04 9.776415e-02 1.125557e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0764421 rel. change during last iteration : -8.69152e-09 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0766822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00588016 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0977641 +/- 0.0005157 (0.5275%) d = 0.112556 +/- 0.03364 (29.88%) correlation matrix of the fit parameters: c d c 1.000 d -0.808 1.000 ******************************************************************************* Thu Mar 19 11:03:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:39:57 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 11:39:57 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 11:39:57 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) fitted parameters initialized with current variable values ******************************************************************************* Thu Mar 19 11:39:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:41:07 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 11:41:07 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 11:41:07 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) fitted parameters initialized with current variable values ******************************************************************************* Thu Mar 19 11:41:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:42:18 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 11:42:18 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 11:42:18 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 11:42:18 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 11:42:18 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 11:42:19 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:43:18 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 11:43:18 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 11:43:18 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 11:43:18 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 11:43:18 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 11:43:18 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:44:04 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 11:44:04 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 11:44:04 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 11:44:04 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 11:44:04 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 11:44:05 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:45:28 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 11:45:28 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 11:45:28 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 11:45:28 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 11:45:28 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 11:45:29 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:47:35 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 11:47:35 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 11:47:35 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 11:47:35 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 11:47:35 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 11:47:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 11:48:29 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 11:48:29 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 11:48:29 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 11:48:29 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 11:48:29 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 11:48:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 16:54:18 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 16:54:18 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 16:54:18 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 16:54:18 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 16:54:18 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 16:54:19 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 20:34:52 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 20:34:52 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 20:34:52 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 20:34:52 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 20:34:52 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 20:34:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 20:35:20 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 20:35:20 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 20:35:20 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 20:35:20 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 20:35:20 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 20:35:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 20:35:53 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 20:35:53 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 20:35:53 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 20:35:53 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 20:35:53 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 20:35:54 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 20:38:49 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 20:38:49 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 20:38:49 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 20:38:49 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 20:38:49 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 20:38:50 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 20:48:38 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 20:48:38 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 20:48:38 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 20:48:38 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 20:48:38 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 20:48:39 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 20:51:48 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 20:51:48 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 20:51:48 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 20:51:48 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 20:51:48 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 20:51:49 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 20:56:16 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 20:56:16 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 20:56:16 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 20:56:16 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 20:56:16 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 20:56:17 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 20:56:47 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 20:56:47 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 20:56:47 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 20:56:47 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 20:56:47 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 20:56:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 19 21:03:04 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Thu Mar 19 21:03:04 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Thu Mar 19 21:03:04 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Thu Mar 19 21:03:04 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Thu Mar 19 21:03:04 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Thu Mar 19 21:03:05 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:28:49 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:28:49 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:28:49 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:28:49 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:28:49 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:28:50 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:30:57 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:30:57 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:30:57 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:30:57 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:30:57 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:30:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:31:37 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:31:37 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:31:37 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:31:37 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:31:37 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:31:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:32:12 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:32:12 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:32:12 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:32:12 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:32:12 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:32:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:33:09 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:33:09 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:33:09 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:33:09 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:33:09 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:33:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:33:41 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:33:41 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:33:41 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:33:41 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:33:41 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:33:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:36:36 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:36:36 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:36:36 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:36:36 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:36:36 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:36:37 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:37:38 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:37:38 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:37:38 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:37:38 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:37:38 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:37:39 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:48:23 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:48:23 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:48:23 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:48:23 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:48:23 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:48:23 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:48:52 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:48:52 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:48:52 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:48:52 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:48:52 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:48:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:50:23 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:50:23 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:50:23 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:50:23 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:50:23 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:50:24 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:52:04 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:52:04 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:52:04 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:52:04 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:52:04 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:52:05 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:53:16 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:53:16 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:53:16 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:53:16 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:53:16 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:53:17 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:57:18 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:57:18 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:57:18 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:57:18 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:57:18 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:57:18 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Mar 21 12:58:50 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sat Mar 21 12:58:50 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sat Mar 21 12:58:50 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sat Mar 21 12:58:50 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sat Mar 21 12:58:50 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sat Mar 21 12:58:51 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 12:38:55 2020 FIT: data read from 'data7.txt' index 0 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9215563150e+05 0.00e+00 1.12e+02 1.000000e+00 1.000000e+00 5 2.6401124986e-01 -2.61e-01 1.12e-03 4.425878e-02 2.048900e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.264011 rel. change during last iteration : -2.60511e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.132668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0176007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0442588 +/- 0.0003717 (0.8399%) b = 0.20489 +/- 0.05881 (28.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.837 1.000 ******************************************************************************* Sun Mar 22 12:38:55 2020 FIT: data read from 'data7.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.5110595500e+04 0.00e+00 4.39e+01 1.000000e+00 1.000000e+00 5 3.0370719403e-01 -2.23e-04 4.39e-04 9.887929e-02 -3.951913e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.303707 rel. change during last iteration : -2.22682e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.159088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0253089 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0988793 +/- 0.001146 (1.159%) d = -0.0395191 +/- 0.07114 (180%) correlation matrix of the fit parameters: c d c 1.000 d -0.802 1.000 ******************************************************************************* Sun Mar 22 12:38:55 2020 FIT: data read from 'data7.txt' index 2 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.5189422400e+04 0.00e+00 2.76e+01 1.000000e+00 1.000000e+00 5 4.5447903414e-01 -1.15e-06 2.76e-04 1.717833e-01 2.358814e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.454479 rel. change during last iteration : -1.15443e-11 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.194611 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0378733 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171783 +/- 0.002229 (1.298%) f = 0.235881 +/- 0.087 (36.88%) correlation matrix of the fit parameters: e f e 1.000 f -0.802 1.000 ******************************************************************************* Sun Mar 22 12:38:55 2020 FIT: data read from 'data7.txt' index 3 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.1257107000e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 5.5731484437e-01 -2.18e-01 1.06e-03 4.636321e-01 -9.883720e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.557315 rel. change during last iteration : -2.17831e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.215506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0464429 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.463632 +/- 0.006795 (1.466%) h = -0.0988372 +/- 0.1018 (103%) correlation matrix of the fit parameters: g h g 1.000 h -0.825 1.000 ******************************************************************************* Sun Mar 22 12:38:55 2020 FIT: data read from 'data7.txt' index 4 u 2:1 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.3429000000e+00 0.00e+00 4.26e+00 1.000000e+00 1.000000e+00 4 5.2547588149e-01 -8.37e-05 4.26e-04 1.193858e+00 7.760497e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.525476 rel. change during last iteration : -8.3741e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.187168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0350317 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19386 +/- 0.01393 (1.167%) j = 0.077605 +/- 0.08282 (106.7%) correlation matrix of the fit parameters: i j i 1.000 j -0.836 1.000 ******************************************************************************* Sun Mar 22 12:38:56 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 12:39:54 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.2380146100e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 5.2169944716e-05 -2.41e-01 2.86e-04 4.757951e-02 -4.227531e-03 After 5 iterations the fit converged. final sum of squares of residuals : 5.21699e-05 rel. change during last iteration : -2.40644e-06 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00294873 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69499e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0475795 +/- 4.485e-05 (0.09426%) b = -0.00422753 +/- 0.001813 (42.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.818 1.000 ******************************************************************************* Sun Mar 22 12:39:54 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 10 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.8057548000e+03 0.00e+00 2.13e+01 1.000000e+00 1.000000e+00 5 2.6149509463e-01 -6.82e-07 2.13e-04 9.532848e-02 1.758658e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.261495 rel. change during last iteration : -6.8177e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.180795 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0326869 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0953285 +/- 0.003165 (3.321%) d = 0.175866 +/- 0.09543 (54.26%) correlation matrix of the fit parameters: c d c 1.000 d -0.801 1.000 ******************************************************************************* Sun Mar 22 12:39:54 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 3.9492232000e+03 0.00e+00 1.56e+01 1.000000e+00 1.000000e+00 5 1.2094030511e-03 -7.13e-06 1.56e-04 1.764799e-01 1.405834e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.0012094 rel. change during last iteration : -7.12834e-11 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000134378 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17648 +/- 0.0002704 (0.1532%) f = 0.0140583 +/- 0.005956 (42.37%) correlation matrix of the fit parameters: e f e 1.000 f -0.810 1.000 ******************************************************************************* Sun Mar 22 12:39:54 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 7.3526940000e+02 0.00e+00 8.74e+00 1.000000e+00 1.000000e+00 4 5.6739204957e-01 -3.81e-02 8.74e-04 4.627055e-01 -9.997699e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.567392 rel. change during last iteration : -3.80983e-07 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.227115 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0515811 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.462705 +/- 0.008313 (1.797%) h = -0.099977 +/- 0.1024 (102.5%) correlation matrix of the fit parameters: g h g 1.000 h -0.789 1.000 ******************************************************************************* Sun Mar 22 12:39:54 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.1527000000e+00 0.00e+00 4.36e+00 1.000000e+00 1.000000e+00 4 5.8500088067e-01 -1.63e-04 4.36e-04 1.196484e+00 -3.172909e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.585001 rel. change during last iteration : -1.63301e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.220794 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0487501 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19648 +/- 0.01697 (1.419%) j = -0.0317291 +/- 0.1033 (325.5%) correlation matrix of the fit parameters: i j i 1.000 j -0.821 1.000 ******************************************************************************* Sun Mar 22 12:39:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 12:41:36 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 8 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.2380146100e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 5.2169944716e-05 -2.41e-01 2.86e-04 4.757951e-02 -4.227531e-03 After 5 iterations the fit converged. final sum of squares of residuals : 5.21699e-05 rel. change during last iteration : -2.40644e-06 degrees of freedom (FIT_NDF) : 6 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00294873 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69499e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0475795 +/- 4.485e-05 (0.09426%) b = -0.00422753 +/- 0.001813 (42.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.818 1.000 ******************************************************************************* Sun Mar 22 12:41:36 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 10 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.8057548000e+03 0.00e+00 2.13e+01 1.000000e+00 1.000000e+00 5 2.6149509463e-01 -6.82e-07 2.13e-04 9.532848e-02 1.758658e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.261495 rel. change during last iteration : -6.8177e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.180795 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0326869 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0953285 +/- 0.003165 (3.321%) d = 0.175866 +/- 0.09543 (54.26%) correlation matrix of the fit parameters: c d c 1.000 d -0.801 1.000 ******************************************************************************* Sun Mar 22 12:41:36 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 3.9492232000e+03 0.00e+00 1.56e+01 1.000000e+00 1.000000e+00 5 1.2094030511e-03 -7.13e-06 1.56e-04 1.764799e-01 1.405834e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.0012094 rel. change during last iteration : -7.12834e-11 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000134378 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17648 +/- 0.0002704 (0.1532%) f = 0.0140583 +/- 0.005956 (42.37%) correlation matrix of the fit parameters: e f e 1.000 f -0.810 1.000 ******************************************************************************* Sun Mar 22 12:41:36 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 7.3526940000e+02 0.00e+00 8.74e+00 1.000000e+00 1.000000e+00 4 5.6739204957e-01 -3.81e-02 8.74e-04 4.627055e-01 -9.997699e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.567392 rel. change during last iteration : -3.80983e-07 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.227115 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0515811 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.462705 +/- 0.008313 (1.797%) h = -0.099977 +/- 0.1024 (102.5%) correlation matrix of the fit parameters: g h g 1.000 h -0.789 1.000 ******************************************************************************* Sun Mar 22 12:41:36 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 7.1527000000e+00 0.00e+00 4.36e+00 1.000000e+00 1.000000e+00 4 5.8500088067e-01 -1.63e-04 4.36e-04 1.196484e+00 -3.172909e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.585001 rel. change during last iteration : -1.63301e-09 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.220794 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0487501 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.19648 +/- 0.01697 (1.419%) j = -0.0317291 +/- 0.1033 (325.5%) correlation matrix of the fit parameters: i j i 1.000 j -0.821 1.000 ******************************************************************************* Sun Mar 22 12:41:37 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 12:49:28 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 10 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4775435900e+04 0.00e+00 2.79e+01 1.000000e+00 1.000000e+00 5 2.2533818380e-04 -2.02e-02 2.79e-04 4.770608e-02 -9.523899e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000225338 rel. change during last iteration : -2.01775e-07 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00530728 variance of residuals (reduced chisquare) = WSSR/ndf : 2.81673e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0477061 +/- 7.372e-05 (0.1545%) b = -0.00095239 +/- 0.002912 (305.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.817 1.000 ******************************************************************************* Sun Mar 22 12:49:28 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 9.3717648000e+03 0.00e+00 1.97e+01 1.000000e+00 1.000000e+00 5 2.6851104254e-01 -1.31e-07 1.97e-04 9.637214e-02 1.331210e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.268511 rel. change during last iteration : -1.31092e-12 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.149586 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0223759 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0963721 +/- 0.002524 (2.619%) d = 0.133121 +/- 0.07026 (52.78%) correlation matrix of the fit parameters: c d c 1.000 d -0.822 1.000 ******************************************************************************* Sun Mar 22 12:49:28 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.8476868000e+03 0.00e+00 1.59e+01 1.000000e+00 1.000000e+00 5 2.5644653052e-01 -2.03e-08 1.59e-04 1.712484e-01 1.576263e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.256447 rel. change during last iteration : -2.02826e-13 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.152687 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0233133 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.171248 +/- 0.003343 (1.952%) f = 0.157626 +/- 0.07505 (47.62%) correlation matrix of the fit parameters: e f e 1.000 f -0.826 1.000 ******************************************************************************* Sun Mar 22 12:49:28 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.0078335000e+03 0.00e+00 9.28e+00 1.000000e+00 1.000000e+00 4 2.7700337260e-01 -4.94e-02 9.28e-04 4.470342e-01 1.522086e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.277003 rel. change during last iteration : -4.94459e-07 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140663 variance of residuals (reduced chisquare) = WSSR/ndf : 0.019786 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.447034 +/- 0.004536 (1.015%) h = 0.152209 +/- 0.05937 (39%) correlation matrix of the fit parameters: g h g 1.000 h -0.806 1.000 ******************************************************************************* Sun Mar 22 12:49:28 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 5.6257000000e+00 0.00e+00 4.15e+00 1.000000e+00 1.000000e+00 4 2.3231773346e-01 -9.47e-05 4.15e-04 1.171861e+00 1.777007e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.232318 rel. change during last iteration : -9.47344e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.128818 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0165941 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.17186 +/- 0.009536 (0.8138%) j = 0.177701 +/- 0.05514 (31.03%) correlation matrix of the fit parameters: i j i 1.000 j -0.812 1.000 ******************************************************************************* Sun Mar 22 12:49:29 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 12:56:20 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 12:56:20 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 12:56:20 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 12:56:20 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 12:56:20 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 12:56:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:01:34 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:01:34 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:01:34 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:01:34 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:01:34 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:01:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:04:01 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:04:01 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:04:01 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:04:01 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:04:01 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:04:02 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:06:34 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:06:34 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:06:34 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:06:34 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:06:34 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:06:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:07:20 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:07:20 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:07:20 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:07:20 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:07:20 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:07:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:08:17 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:08:17 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:08:17 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:08:17 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:08:17 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:08:18 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:09:00 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:09:00 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:09:00 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:09:00 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:09:00 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:09:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:09:34 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:09:34 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:09:34 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:09:34 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:09:34 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:09:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:11:55 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:11:55 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:11:55 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:11:55 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:11:55 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:11:56 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:13:39 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:13:39 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:13:39 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:13:39 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:13:39 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:13:39 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:16:22 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:16:22 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:16:22 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:16:22 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:16:22 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:16:22 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:17:00 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:17:00 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:17:00 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:17:00 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:17:00 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:17:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:17:59 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:17:59 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:17:59 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:17:59 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:17:59 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:18:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:18:34 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:18:34 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:18:34 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:18:34 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:18:34 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:18:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:18:57 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:18:57 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:18:57 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:18:57 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:18:57 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:18:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:19:34 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:19:34 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:19:34 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:19:34 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:19:34 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:19:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:19:46 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:19:46 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:19:46 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:19:46 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:19:46 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:19:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:26:18 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:26:18 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:26:18 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:26:18 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:26:18 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:26:19 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:26:33 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:26:33 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:26:33 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:26:33 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:26:33 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:26:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:26:47 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:26:47 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:26:47 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:26:47 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:26:47 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:26:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:49:34 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:49:34 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:49:34 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:49:34 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:49:34 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:49:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:51:14 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:51:14 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:51:14 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:51:14 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:51:14 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:51:15 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:53:11 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:53:11 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:53:11 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:53:11 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:53:11 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:53:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:53:29 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:53:29 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:53:29 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:53:29 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:53:29 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:53:29 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:53:41 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:53:41 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:53:41 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:53:41 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:53:41 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:53:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:54:37 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:54:37 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:54:37 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:54:37 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:54:37 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:54:37 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:54:52 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:54:52 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:54:52 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:54:52 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:54:52 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:54:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:55:17 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:55:17 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:55:17 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:55:17 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:55:17 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:55:18 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:55:29 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:55:29 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:55:29 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:55:29 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:55:29 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:55:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:55:45 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:55:45 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:55:45 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:55:45 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:55:45 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:55:45 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:56:07 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:56:07 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:56:07 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:56:07 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:56:07 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:56:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:58:09 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:58:09 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:58:09 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:58:09 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:58:09 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:58:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 13:59:42 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 13:59:42 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 13:59:42 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 13:59:42 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 13:59:42 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 13:59:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:02:09 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:02:09 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:02:09 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:02:09 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:02:09 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:02:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:03:43 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:03:43 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:03:43 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:03:43 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:03:43 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:03:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:04:24 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:04:24 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:04:24 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:04:24 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:04:24 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:04:25 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:05:10 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:05:10 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:05:10 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:05:10 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:05:10 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:05:11 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:06:20 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:06:20 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:06:20 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:06:20 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:06:20 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:06:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:06:43 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:06:43 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:06:43 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:06:43 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:06:43 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:06:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:07:03 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:07:03 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:07:03 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:07:03 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:07:03 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:07:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:07:21 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:07:21 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:07:21 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:07:21 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:07:21 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:07:22 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:07:40 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:07:40 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:07:40 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:07:40 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:07:40 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:07:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:08:07 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:08:07 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:08:07 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:08:07 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:08:07 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:08:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:08:59 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:08:59 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:08:59 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:08:59 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:08:59 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:09:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:09:23 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:09:23 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:09:23 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:09:23 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:09:23 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:09:24 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:09:42 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:09:42 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:09:42 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:09:42 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:09:42 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:09:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:10:00 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:10:00 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:10:00 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:10:00 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:10:00 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:10:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:12:34 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:12:34 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:12:34 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:12:34 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:12:34 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:12:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:15:00 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:15:00 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:15:00 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:15:00 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:15:00 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:15:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:18:58 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:18:58 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:18:58 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:18:58 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:18:58 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:18:59 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:20:58 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:20:58 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:20:58 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:20:58 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:20:58 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:20:59 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:21:28 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:21:28 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:21:28 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:21:28 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:21:28 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:21:29 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:21:59 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:21:59 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:21:59 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:21:59 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:21:59 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:22:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:23:26 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:23:26 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:23:26 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:23:26 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:23:26 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:23:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:24:51 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:24:51 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:24:51 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:24:51 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:24:51 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:24:52 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:26:10 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:26:10 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:26:10 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:26:10 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:26:10 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:26:11 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:27:21 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:27:21 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:27:21 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:27:21 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:27:21 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:27:22 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:27:48 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:27:48 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:27:48 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:27:48 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:27:48 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:27:49 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:30:14 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:30:14 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:30:14 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:30:14 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:30:14 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:30:15 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:31:39 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:31:39 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:31:39 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:31:39 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:31:39 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:31:40 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:38:03 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:38:03 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:38:03 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:38:03 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:38:03 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:38:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:39:24 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:39:24 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:39:24 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:39:25 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:39:25 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:39:25 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:40:17 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:40:17 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:40:17 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:40:17 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:40:17 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:40:18 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:40:45 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:40:45 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:40:45 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:40:45 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:40:45 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:40:46 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:44:08 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:44:08 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:44:08 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:44:08 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:44:08 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:44:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 14:45:43 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 14:45:43 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 14:45:43 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 14:45:43 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 14:45:43 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 14:45:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 18:21:46 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 18:21:46 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 18:21:46 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 18:21:46 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 18:21:46 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 18:21:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 18:22:07 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 18:22:07 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 18:22:07 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 18:22:07 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 18:22:07 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 18:22:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 18:24:49 2020 FIT: data read from 'data8.txt' index 0 u 2:1 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3023210653e+04 0.00e+00 3.19e+01 1.000000e+00 1.000000e+00 5 2.7645650549e-04 -8.10e-02 3.19e-04 4.729348e-02 -7.850067e-05 After 5 iterations the fit converged. final sum of squares of residuals : 0.000276457 rel. change during last iteration : -8.1005e-07 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00525791 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0472935 +/- 6.798e-05 (0.1437%) b = -7.85007e-05 +/- 0.003063 (3902%) correlation matrix of the fit parameters: a b a 1.000 b -0.869 1.000 ******************************************************************************* Sun Mar 22 18:24:49 2020 FIT: data read from 'data8.txt' index 1 u 2:1 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 7.6875392210e+03 0.00e+00 2.01e+01 1.000000e+00 1.000000e+00 5 3.7102704536e-04 -5.29e-04 2.01e-04 9.991879e-02 4.100228e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.000371027 rel. change during last iteration : -5.28805e-09 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00642069 variance of residuals (reduced chisquare) = WSSR/ndf : 4.12252e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0999188 +/- 0.0001235 (0.1236%) d = 0.00410023 +/- 0.003514 (85.69%) correlation matrix of the fit parameters: c d c 1.000 d -0.835 1.000 ******************************************************************************* Sun Mar 22 18:24:49 2020 FIT: data read from 'data8.txt' index 2 u 2:1 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.6886251340e+03 0.00e+00 1.60e+01 1.000000e+00 1.000000e+00 5 4.4055316941e-04 -2.04e-05 1.60e-04 1.765699e-01 1.750309e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.000440553 rel. change during last iteration : -2.03731e-10 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0058214 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38887e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.17657 +/- 0.0001287 (0.0729%) f = 0.0175031 +/- 0.002912 (16.63%) correlation matrix of the fit parameters: e f e 1.000 f -0.856 1.000 ******************************************************************************* Sun Mar 22 18:24:49 2020 FIT: data read from 'data8.txt' index 3 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2691546560e+03 0.00e+00 9.83e+00 1.000000e+00 1.000000e+00 5 6.6868565004e-03 -1.14e-09 9.83e-05 4.542127e-01 3.703581e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00668686 rel. change during last iteration : -1.14146e-14 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0204433 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000417929 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.454213 +/- 0.0006527 (0.1437%) h = 0.0370358 +/- 0.009049 (24.43%) correlation matrix of the fit parameters: g h g 1.000 h -0.846 1.000 ******************************************************************************* Sun Mar 22 18:24:49 2020 FIT: data read from 'data8.txt' index 4 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 6.2168910000e+00 0.00e+00 4.24e+00 1.000000e+00 1.000000e+00 4 1.3051411527e-01 -1.99e-04 4.24e-04 1.174996e+00 1.276035e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.130514 rel. change during last iteration : -1.98765e-09 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0876202 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0076773 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.175 +/- 0.006216 (0.529%) j = 0.127603 +/- 0.03674 (28.79%) correlation matrix of the fit parameters: i j i 1.000 j -0.837 1.000 ******************************************************************************* Sun Mar 22 18:24:50 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 21:51:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 22 21:51:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 22 21:51:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 22 21:51:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 22 21:51:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 22 21:51:54 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 21:56:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 22 21:56:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 22 21:56:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 22 21:56:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 22 21:56:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 22 21:56:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 21:57:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 22 21:57:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 22 21:57:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 22 21:57:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 22 21:57:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 22 21:57:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 21:58:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 22 21:58:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 22 21:58:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 22 21:58:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 22 21:58:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 22 21:58:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 22:03:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 22 22:03:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 22 22:03:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 22 22:03:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 22 22:03:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 22 22:03:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 22:07:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 22 22:07:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 22 22:07:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 22 22:07:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 22 22:07:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 22 22:07:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 22:09:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 22 22:09:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 22 22:09:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 22 22:09:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 22 22:09:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 22 22:09:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 22 22:38:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 22 22:38:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 22 22:38:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 22 22:38:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 22 22:38:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 22 22:38:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 13:42:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 13:42:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 13:42:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 13:42:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 13:42:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 13:42:05 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 13:42:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 13:42:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 13:42:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 13:42:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 13:42:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 13:42:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 13:43:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 13:43:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 13:43:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 13:43:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 13:43:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 13:43:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 13:45:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 13:45:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 13:45:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 13:45:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 13:45:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 13:45:52 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 13:46:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 13:46:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 13:46:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 13:46:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 13:46:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 13:46:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 13:50:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 13:50:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 13:50:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 13:50:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 13:50:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 13:50:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 13:52:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 13:52:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 13:52:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 13:52:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 13:52:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 13:52:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 13:53:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 13:53:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 13:53:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 13:53:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 13:53:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 13:53:52 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 13:55:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 13:55:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 13:55:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 13:55:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 13:55:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 13:55:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 13:56:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 13:56:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 13:56:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 13:56:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 13:56:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 13:56:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 13:58:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 13:58:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 13:58:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 13:58:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 13:58:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 13:58:02 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 13:59:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 13:59:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 13:59:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 13:59:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 13:59:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 13:59:51 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:01:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:01:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:01:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:01:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:01:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:01:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:02:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:02:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:02:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:02:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:02:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:02:51 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:06:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:06:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:06:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:06:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:06:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:06:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:06:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:06:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:06:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:06:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:06:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:07:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:11:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:11:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:11:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:11:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:11:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:11:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:13:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:13:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:13:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:13:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:13:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:13:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:20:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:20:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:20:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:20:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:20:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:20:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:21:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:21:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:21:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:21:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:21:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:21:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:21:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:21:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:21:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:21:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:21:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:21:57 2020 FIT: data read from 'data_condo2.txt' index 0 u 1:2 format = x:z #datapoints = 191 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.936*exp(-x/a+b) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 8.3159012003e+02 0.00e+00 2.86e+00 1.000000e+00 1.000000e+00 Current data point ========================= # = 1 out of 191 x = -0.000569978 z = 3.936 Current set of parameters ========================= a = -0.000569978 b = 5.72245 BREAK: Undefined value during function evaluation ******************************************************************************* Mon Mar 23 14:21:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:23:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:23:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:23:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:23:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:23:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:23:09 2020 FIT: data read from 'data_condo2.txt' index 0 u 1:2 format = x:z #datapoints = 191 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.936*exp(-x/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9285643908e+02 0.00e+00 1.10e+00 1.000000e+00 1.000000e+00 8 3.4416808452e+01 -4.40e-01 1.10e-08 7.727083e-01 -2.747318e-01 After 8 iterations the fit converged. final sum of squares of residuals : 34.4168 rel. change during last iteration : -4.39938e-06 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.426731 variance of residuals (reduced chisquare) = WSSR/ndf : 0.1821 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.772708 +/- 0.0724 (9.37%) b = -0.274732 +/- 0.0932 (33.92%) correlation matrix of the fit parameters: a b a 1.000 b -0.944 1.000 ******************************************************************************* Mon Mar 23 14:23:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:23:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:23:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:23:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:23:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:23:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:23:51 2020 FIT: data read from 'data_condo2.txt' index 0 u 1:2 format = x:z #datapoints = 191 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.936*exp(-x/a+0.8)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.2974129639e+03 0.00e+00 1.99e+00 1.000000e+00 1.000000e+00 6 2.5113750150e+01 -1.61e-01 1.99e-05 4.868443e-01 -1.811945e-01 After 6 iterations the fit converged. final sum of squares of residuals : 25.1138 rel. change during last iteration : -1.61296e-06 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.364523 variance of residuals (reduced chisquare) = WSSR/ndf : 0.132877 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.486844 +/- 0.01667 (3.424%) b = -0.181194 +/- 0.04577 (25.26%) correlation matrix of the fit parameters: a b a 1.000 b -0.817 1.000 ******************************************************************************* Mon Mar 23 14:23:51 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:24:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:24:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:24:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:24:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:24:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:24:41 2020 FIT: data read from 'data_condo2.txt' index 0 u 1:2 format = x:z #datapoints = 191 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.936*exp(-(x+0.8)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.8245917857e+02 0.00e+00 9.26e-01 1.000000e+00 1.000000e+00 6 4.3108072893e+01 -3.81e-01 9.26e-02 1.670227e+00 -6.560582e-01 After 6 iterations the fit converged. final sum of squares of residuals : 43.1081 rel. change during last iteration : -3.80591e-06 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.477582 variance of residuals (reduced chisquare) = WSSR/ndf : 0.228085 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.67023 +/- 0.4231 (25.33%) b = -0.656058 +/- 0.3264 (49.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.994 1.000 ******************************************************************************* Mon Mar 23 14:24:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:25:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:25:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:25:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:25:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:25:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:25:04 2020 FIT: data read from 'data_condo2.txt' index 0 u 1:2 format = x:z #datapoints = 191 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.936*exp(-(x-0.8)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.2974129639e+03 0.00e+00 1.11e+00 1.000000e+00 1.000000e+00 7 4.5515584911e+01 -2.11e-01 1.11e-07 4.481690e+00 -2.961976e+00 After 7 iterations the fit converged. final sum of squares of residuals : 45.5156 rel. change during last iteration : -2.11004e-06 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.490737 variance of residuals (reduced chisquare) = WSSR/ndf : 0.240823 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.48169 +/- 0.5039 (11.24%) b = -2.96198 +/- 0.07935 (2.679%) correlation matrix of the fit parameters: a b a 1.000 b -0.894 1.000 ******************************************************************************* Mon Mar 23 14:25:05 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:27:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:27:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:27:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:27:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:27:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:27:27 2020 FIT: data read from 'data_condo2.txt' index 0 u 1:2 format = x:z #datapoints = 191 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.936*exp(-(x-0.8)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 5.2652710008e+02 0.00e+00 1.22e+00 1.000000e+00 6 1.1309075330e+00 -1.46e-03 1.22e+01 1.026932e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.13091 rel. change during last iteration : -1.45701e-08 degrees of freedom (FIT_NDF) : 190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0771501 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00595214 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.102693 +/- 0.001257 (1.224%) ******************************************************************************* Mon Mar 23 14:27:28 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:28:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:28:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:28:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:28:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:28:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:28:35 2020 FIT: data read from 'data_condo2.txt' index 0 u 1:2 format = x:z #datapoints = 191 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.936*exp(-(x-0.8)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 5.2652710008e+02 0.00e+00 1.22e+00 1.000000e+00 6 1.1309075330e+00 -1.46e-03 1.22e+01 1.026932e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.13091 rel. change during last iteration : -1.45701e-08 degrees of freedom (FIT_NDF) : 190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0771501 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00595214 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.102693 +/- 0.001257 (1.224%) ******************************************************************************* Mon Mar 23 14:28:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 14:29:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 14:29:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 14:29:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 14:29:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 14:29:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 14:29:04 2020 FIT: data read from 'data_condo2.txt' index 0 u 1:2 format = x:z #datapoints = 191 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.936*exp(-(x-0.8)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 5.2652710008e+02 0.00e+00 1.22e+00 1.000000e+00 6 1.1309075330e+00 -1.46e-03 1.22e+01 1.026932e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.13091 rel. change during last iteration : -1.45701e-08 degrees of freedom (FIT_NDF) : 190 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0771501 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00595214 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.102693 +/- 0.001257 (1.224%) ******************************************************************************* Mon Mar 23 14:29:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 17:26:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 17:26:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 17:26:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 17:26:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 17:26:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 17:26:03 2020 FIT: data read from 'data_condo3.txt' index 0 u 1:2 format = x:z #datapoints = 137 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.972*exp(-(x-0.36)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 5.9166553466e+01 0.00e+00 1.12e+00 1.000000e+00 5 5.7840701098e+01 -1.80e-02 1.12e-05 9.261465e-01 After 5 iterations the fit converged. final sum of squares of residuals : 57.8407 rel. change during last iteration : -1.79925e-07 degrees of freedom (FIT_NDF) : 136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.65215 variance of residuals (reduced chisquare) = WSSR/ndf : 0.425299 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.926147 +/- 0.04393 (4.743%) ******************************************************************************* Mon Mar 23 17:26:03 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 17:28:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 17:28:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 17:28:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 17:28:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 17:28:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 17:28:28 2020 FIT: data read from 'data_condo4.txt' index 0 u 1:2 format = x:z #datapoints = 401 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.972*exp(-(x-0.36)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.9403571847e+01 0.00e+00 1.03e+00 1.000000e+00 4 3.8069279259e+01 -6.45e-04 1.03e-04 1.052707e+00 After 4 iterations the fit converged. final sum of squares of residuals : 38.0693 rel. change during last iteration : -6.4534e-09 degrees of freedom (FIT_NDF) : 400 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.308502 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0951732 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.05271 +/- 0.01546 (1.469%) ******************************************************************************* Mon Mar 23 17:28:29 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 17:29:38 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 17:29:38 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 17:29:38 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 17:29:38 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 17:29:38 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 17:29:38 2020 FIT: data read from 'data_condo4.txt' index 0 u 1:2 format = x:z #datapoints = 401 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.972*exp(-(x-0.41)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 5.6828799134e+01 0.00e+00 1.06e+00 1.000000e+00 4 5.5553312474e+01 -3.73e-02 1.06e-04 1.049112e+00 After 4 iterations the fit converged. final sum of squares of residuals : 55.5533 rel. change during last iteration : -3.72755e-07 degrees of freedom (FIT_NDF) : 400 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.37267 variance of residuals (reduced chisquare) = WSSR/ndf : 0.138883 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.04911 +/- 0.01819 (1.733%) ******************************************************************************* Mon Mar 23 17:29:39 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 17:32:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 17:32:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 17:32:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 17:32:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 17:32:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 17:32:04 2020 FIT: data read from 'data_condo4.txt' index 0 u 1:2 format = x:z #datapoints = 355 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.972*exp(-(x-0.46)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 8.5466548637e+00 0.00e+00 1.04e+00 1.000000e+00 3 7.0267922360e-01 -5.69e-02 1.04e-03 8.609875e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.702679 rel. change during last iteration : -5.69205e-07 degrees of freedom (FIT_NDF) : 354 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.044553 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00198497 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.860987 +/- 0.002094 (0.2432%) ******************************************************************************* Mon Mar 23 17:32:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 17:33:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 17:33:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 17:33:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 17:33:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 17:33:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 17:33:27 2020 FIT: data read from 'data_condo4.txt' index 0 u 1:2 format = x:z #datapoints = 355 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.5)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.4104272963e+01 0.00e+00 1.04e+00 1.000000e+00 3 1.2489473533e+00 -9.52e-05 1.04e+01 8.217473e-01 After 3 iterations the fit converged. final sum of squares of residuals : 1.24895 rel. change during last iteration : -9.51923e-10 degrees of freedom (FIT_NDF) : 354 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0593978 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0035281 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.821747 +/- 0.002729 (0.3322%) ******************************************************************************* Mon Mar 23 17:33:28 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 17:34:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 17:34:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 17:34:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 17:34:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 17:34:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 17:34:03 2020 FIT: data read from 'data_condo4.txt' index 0 u 1:2 format = x:z #datapoints = 351 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.5)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.4059627562e+01 0.00e+00 1.04e+00 1.000000e+00 3 1.1812453739e+00 -3.76e-11 1.04e+06 8.215556e-01 After 3 iterations the fit converged. final sum of squares of residuals : 1.18125 rel. change during last iteration : -3.7595e-16 degrees of freedom (FIT_NDF) : 350 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0580946 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00337499 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.821556 +/- 0.00267 (0.3249%) ******************************************************************************* Mon Mar 23 17:34:03 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 17:35:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 17:35:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 17:35:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 17:35:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 17:35:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 17:35:35 2020 FIT: data read from 'data_condo4.txt' index 0 u 1:2 format = x:z #datapoints = 351 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.8108125156e+02 0.00e+00 1.02e+00 1.000000e+00 1.000000e+00 5 6.8665609571e-01 0.00e+00 1.02e+06 7.535732e-01 8.721950e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.686656 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 349 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0443565 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0019675 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.753573 +/- 0.004085 (0.542%) b = 0.0872195 +/- 0.004964 (5.692%) correlation matrix of the fit parameters: a b a 1.000 b -0.879 1.000 ******************************************************************************* Mon Mar 23 17:35:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 17:41:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 17:41:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 17:41:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 17:41:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 17:41:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 17:41:37 2020 FIT: data read from 'data_condo4.txt' index 0 u 1:2 format = x:z #datapoints = 351 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.8108125156e+02 0.00e+00 1.02e+00 1.000000e+00 1.000000e+00 5 6.8665609571e-01 0.00e+00 1.02e+06 7.535732e-01 8.721950e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.686656 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 349 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0443565 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0019675 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.753573 +/- 0.004085 (0.542%) b = 0.0872195 +/- 0.004964 (5.692%) correlation matrix of the fit parameters: a b a 1.000 b -0.879 1.000 ******************************************************************************* Mon Mar 23 17:41:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 17:43:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 17:43:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 17:43:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 17:43:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 17:43:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 17:43:34 2020 FIT: data read from 'data_condo4.txt' index 0 u 1:2 format = x:z #datapoints = 351 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.8108125156e+02 0.00e+00 1.02e+00 1.000000e+00 1.000000e+00 5 6.8665609571e-01 0.00e+00 1.02e+06 7.535732e-01 8.721950e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.686656 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 349 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0443565 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0019675 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.753573 +/- 0.004085 (0.542%) b = 0.0872195 +/- 0.004964 (5.692%) correlation matrix of the fit parameters: a b a 1.000 b -0.879 1.000 ******************************************************************************* Mon Mar 23 17:43:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 17:44:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 17:44:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 17:44:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 17:44:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 17:44:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 17:44:09 2020 FIT: data read from 'data_condo4.txt' index 0 u 1:2 format = x:z #datapoints = 351 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.8108125156e+02 0.00e+00 1.02e+00 1.000000e+00 1.000000e+00 5 6.8665609571e-01 0.00e+00 1.02e+06 7.535732e-01 8.721950e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.686656 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 349 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0443565 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0019675 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.753573 +/- 0.004085 (0.542%) b = 0.0872195 +/- 0.004964 (5.692%) correlation matrix of the fit parameters: a b a 1.000 b -0.879 1.000 ******************************************************************************* Mon Mar 23 17:44:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 17:45:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 17:45:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 17:45:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 17:45:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 17:45:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 17:45:35 2020 FIT: data read from 'data_condo4.txt' index 0 u 1:2 format = x:z #datapoints = 351 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.8108125156e+02 0.00e+00 1.02e+00 1.000000e+00 1.000000e+00 5 6.8665609571e-01 0.00e+00 1.02e+06 7.535732e-01 8.721950e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.686656 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 349 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0443565 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0019675 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.753573 +/- 0.004085 (0.542%) b = 0.0872195 +/- 0.004964 (5.692%) correlation matrix of the fit parameters: a b a 1.000 b -0.879 1.000 ******************************************************************************* Mon Mar 23 17:45:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 17:49:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 17:49:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 17:49:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 17:49:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 17:49:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 17:49:45 2020 FIT: data read from 'data_condo4.txt' index 0 u 1:2 format = x:z #datapoints = 351 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.8108125156e+02 0.00e+00 1.02e+00 1.000000e+00 1.000000e+00 5 6.8665609571e-01 0.00e+00 1.02e+06 7.535732e-01 8.721950e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.686656 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 349 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0443565 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0019675 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.753573 +/- 0.004085 (0.542%) b = 0.0872195 +/- 0.004964 (5.692%) correlation matrix of the fit parameters: a b a 1.000 b -0.879 1.000 ******************************************************************************* Mon Mar 23 17:49:46 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 18:04:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 18:04:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 18:04:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 18:04:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 18:04:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 18:04:41 2020 FIT: data read from 'data_condo5.txt' index 0 u 1:2 format = x:z #datapoints = 51 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6767778977e+01 0.00e+00 1.04e+00 1.000000e+00 1.000000e+00 5 1.9042590538e+00 -8.74e-04 1.04e-05 2.041042e+00 -4.564121e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.90426 rel. change during last iteration : -8.73834e-09 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.197136 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0388624 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.04104 +/- 0.08709 (4.267%) b = -0.456412 +/- 0.04961 (10.87%) correlation matrix of the fit parameters: a b a 1.000 b -0.831 1.000 ******************************************************************************* Mon Mar 23 18:04:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 18:06:32 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 18:06:32 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 18:06:32 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 18:06:32 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 18:06:32 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 18:06:32 2020 FIT: data read from 'data_condo5.txt' index 0 u 1:2 format = x:z #datapoints = 46 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.4276625801e+01 0.00e+00 9.61e-01 1.000000e+00 1.000000e+00 5 1.2900037910e-02 -1.48e-10 9.61e+02 1.243984e+00 8.755542e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.0129 rel. change during last iteration : -1.47922e-15 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171226 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000293183 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.24398 +/- 0.008143 (0.6546%) b = 0.0875554 +/- 0.006666 (7.613%) correlation matrix of the fit parameters: a b a 1.000 b -0.926 1.000 ******************************************************************************* Mon Mar 23 18:06:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 18:08:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 18:08:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 18:08:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 18:08:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 18:08:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 18:08:46 2020 FIT: data read from 'data_condo5.txt' index 0 u 1:2 format = x:z #datapoints = 45 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.776*exp(-(x-0.6)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.6173671776e+01 0.00e+00 9.45e-01 1.000000e+00 1.000000e+00 6 5.4609880641e-02 -5.68e-04 9.45e-01 1.220218e+00 7.377399e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.0546099 rel. change during last iteration : -5.67657e-09 degrees of freedom (FIT_NDF) : 43 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.035637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00127 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.22022 +/- 0.01766 (1.447%) b = 0.073774 +/- 0.01406 (19.05%) correlation matrix of the fit parameters: a b a 1.000 b -0.926 1.000 ******************************************************************************* Mon Mar 23 18:08:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 18:11:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 18:11:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 18:11:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 18:11:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 18:11:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 18:11:23 2020 FIT: data read from 'data_condo6.txt' index 0 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.776*exp(-(x-0.6)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.1163555949e+01 0.00e+00 1.04e+00 1.000000e+00 1.000000e+00 4 1.6665435255e+00 -8.59e-01 1.04e-04 2.145771e+00 -3.239108e-01 After 4 iterations the fit converged. final sum of squares of residuals : 1.66654 rel. change during last iteration : -8.58706e-06 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.224725 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0505013 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.14577 +/- 0.13 (6.056%) b = -0.323911 +/- 0.06347 (19.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.801 1.000 ******************************************************************************* Mon Mar 23 18:11:24 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 18:12:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 18:12:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 18:12:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 18:12:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 18:12:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 18:12:34 2020 FIT: data read from 'data_condo6.txt' index 0 u 1:2 format = x:z #datapoints = 31 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.588*exp(-(x-0.8)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.8966858767e+01 0.00e+00 8.71e-01 1.000000e+00 1.000000e+00 5 2.9681160820e-02 -2.59e-01 8.71e-06 1.290760e+00 6.285436e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.0296812 rel. change during last iteration : -2.59125e-06 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.031992 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102349 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.29076 +/- 0.01819 (1.41%) b = 0.0628544 +/- 0.01151 (18.31%) correlation matrix of the fit parameters: a b a 1.000 b -0.866 1.000 ******************************************************************************* Mon Mar 23 18:12:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 18:17:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 18:17:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 18:17:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 18:17:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 18:17:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 18:17:06 2020 FIT: data read from 'data_condo7.txt' index 0 u 1:2 format = x:z #datapoints = 73 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.588*exp(-(x-0.8)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.2056179967e+02 0.00e+00 1.18e+00 1.000000e+00 1.000000e+00 5 3.9697257669e+00 -6.78e-01 1.18e-05 2.193850e+00 -4.155302e-01 After 5 iterations the fit converged. final sum of squares of residuals : 3.96973 rel. change during last iteration : -6.77982e-06 degrees of freedom (FIT_NDF) : 71 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.236456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0559116 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.19385 +/- 0.08805 (4.014%) b = -0.41553 +/- 0.04085 (9.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.736 1.000 ******************************************************************************* Mon Mar 23 18:17:06 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 18:18:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 18:18:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 18:18:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 18:18:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 18:18:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 18:18:32 2020 FIT: data read from 'data_condo7.txt' index 0 u 1:2 format = x:z #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.840*exp(-(x-0.7)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.2629426269e+01 0.00e+00 8.83e-01 1.000000e+00 1.000000e+00 5 7.5047535172e-02 -1.87e-03 8.83e-01 1.233884e+00 6.926501e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.0750475 rel. change during last iteration : -1.86581e-08 degrees of freedom (FIT_NDF) : 64 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0342435 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00117262 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.23388 +/- 0.0115 (0.9319%) b = 0.069265 +/- 0.007728 (11.16%) correlation matrix of the fit parameters: a b a 1.000 b -0.838 1.000 ******************************************************************************* Mon Mar 23 18:18:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 18:22:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 18:22:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 18:22:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 18:22:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 18:22:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 18:22:15 2020 FIT: data read from 'data_condo8.txt' index 0 u 1:2 format = x:z #datapoints = 82 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.840*exp(-(x-0.7)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.1510348792e+02 0.00e+00 1.28e+00 1.000000e+00 1.000000e+00 6 3.2483036345e+00 -2.80e-04 1.28e+00 2.138248e+00 -8.940615e-01 After 6 iterations the fit converged. final sum of squares of residuals : 3.2483 rel. change during last iteration : -2.79711e-09 degrees of freedom (FIT_NDF) : 80 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.201504 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0406038 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.13825 +/- 0.05637 (2.636%) b = -0.894061 +/- 0.03052 (3.414%) correlation matrix of the fit parameters: a b a 1.000 b -0.684 1.000 ******************************************************************************* Mon Mar 23 18:22:15 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 18:23:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 18:23:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 18:23:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 18:23:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 18:23:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 18:23:49 2020 FIT: data read from 'data_condo8.txt' index 0 u 1:2 format = x:z #datapoints = 74 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.4)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.1592252335e+00 0.00e+00 7.20e-01 1.000000e+00 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Mon Mar 23 18:23:49 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 18:24:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 18:24:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 18:24:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 18:24:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 18:24:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 18:24:26 2020 FIT: data read from 'data_condo8.txt' index 0 u 1:2 format = x:z #datapoints = 74 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.4)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.1592252335e+00 0.00e+00 7.20e-01 1.000000e+00 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Mon Mar 23 18:24:26 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 18:25:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 18:25:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 18:25:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 18:25:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 18:25:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 18:25:42 2020 FIT: data read from 'data_condo8.txt' index 0 u 1:2 format = x:z #datapoints = 74 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.4)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.1592252335e+00 0.00e+00 1.02e+00 1.000000e+00 4 9.8941377719e-02 -1.40e-11 1.02e+04 1.173896e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0989414 rel. change during last iteration : -1.40263e-16 degrees of freedom (FIT_NDF) : 73 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0368152 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00135536 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.1739 +/- 0.004622 (0.3937%) ******************************************************************************* Mon Mar 23 18:25:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 23 18:26:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 23 18:26:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 23 18:26:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 23 18:26:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 23 18:26:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 23 18:26:48 2020 FIT: data read from 'data_condo8.txt' index 0 u 1:2 format = x:z #datapoints = 74 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.4)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.1585274108e+01 0.00e+00 1.01e+00 1.000000e+00 1.000000e+00 5 5.1295686076e-02 -5.43e-01 1.01e-05 1.090820e+00 8.182829e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.0512957 rel. change during last iteration : -5.42728e-06 degrees of freedom (FIT_NDF) : 72 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0266916 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00071244 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.09082 +/- 0.009362 (0.8582%) b = 0.0818283 +/- 0.009065 (11.08%) correlation matrix of the fit parameters: a b a 1.000 b -0.940 1.000 ******************************************************************************* Mon Mar 23 18:26:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:35:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:35:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:35:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:35:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:35:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:35:26 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 253 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.4)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.7916096061e+03 0.00e+00 1.52e+00 1.000000e+00 1.000000e+00 89 1.5839620708e+02 -4.92e-02 1.52e-03 3.133277e-01 -1.050770e+01 After 89 iterations the fit converged. final sum of squares of residuals : 158.396 rel. change during last iteration : -4.92007e-07 degrees of freedom (FIT_NDF) : 251 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.794393 variance of residuals (reduced chisquare) = WSSR/ndf : 0.631061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.313328 +/- 0.005522 (1.762%) b = -10.5077 +/- 0.2294 (2.183%) correlation matrix of the fit parameters: a b a 1.000 b 0.976 1.000 ******************************************************************************* Tue Mar 24 21:35:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:36:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:36:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:36:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:36:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:36:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:36:06 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 253 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.4)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.7916096061e+03 0.00e+00 1.52e+00 1.000000e+00 1.000000e+00 89 1.5839620708e+02 -4.92e-02 1.52e-03 3.133277e-01 -1.050770e+01 After 89 iterations the fit converged. final sum of squares of residuals : 158.396 rel. change during last iteration : -4.92007e-07 degrees of freedom (FIT_NDF) : 251 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.794393 variance of residuals (reduced chisquare) = WSSR/ndf : 0.631061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.313328 +/- 0.005522 (1.762%) b = -10.5077 +/- 0.2294 (2.183%) correlation matrix of the fit parameters: a b a 1.000 b 0.976 1.000 ******************************************************************************* Tue Mar 24 21:36:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:36:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:36:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:36:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:36:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:36:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:36:28 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 253 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.964*exp(-(x-0.4)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.7916096061e+03 0.00e+00 1.52e+00 1.000000e+00 1.000000e+00 89 1.5839620708e+02 -4.92e-02 1.52e-03 3.133277e-01 -1.050770e+01 After 89 iterations the fit converged. final sum of squares of residuals : 158.396 rel. change during last iteration : -4.92007e-07 degrees of freedom (FIT_NDF) : 251 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.794393 variance of residuals (reduced chisquare) = WSSR/ndf : 0.631061 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.313328 +/- 0.005522 (1.762%) b = -10.5077 +/- 0.2294 (2.183%) correlation matrix of the fit parameters: a b a 1.000 b 0.976 1.000 ******************************************************************************* Tue Mar 24 21:36:28 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:38:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:38:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:38:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:38:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:38:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:38:37 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 231 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.984*exp(-(x-0.011)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.7855485122e+03 0.00e+00 7.28e-01 1.000000e+00 1.000000e+00 7 4.2745966766e+02 -1.22e-01 7.28e-08 -7.522418e+04 -3.067466e+00 After 7 iterations the fit converged. final sum of squares of residuals : 427.46 rel. change during last iteration : -1.22313e-06 degrees of freedom (FIT_NDF) : 229 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.36625 variance of residuals (reduced chisquare) = WSSR/ndf : 1.86664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -75224.2 +/- 3.833e+09 (5.096e+06%) b = -3.06747 +/- 0.1798 (5.861%) correlation matrix of the fit parameters: a b a 1.000 b -0.866 1.000 ******************************************************************************* Tue Mar 24 21:38:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:40:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:40:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:40:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:40:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:40:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:40:04 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.8202887567e+03 0.00e+00 7.24e-01 1.000000e+00 1.000000e+00 7 1.3402980428e+02 -6.50e-01 7.24e-08 -7.430188e+04 -3.415685e+00 After 7 iterations the fit converged. final sum of squares of residuals : 134.03 rel. change during last iteration : -6.50287e-06 degrees of freedom (FIT_NDF) : 207 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.804666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.647487 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -74301.9 +/- 2.564e+09 (3.451e+06%) b = -3.41568 +/- 0.1113 (3.259%) correlation matrix of the fit parameters: a b a 1.000 b -0.866 1.000 ******************************************************************************* Tue Mar 24 21:40:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:41:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:41:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:41:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:41:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:41:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:41:56 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.8202887567e+03 0.00e+00 7.24e-01 1.000000e+00 1.000000e+00 7 1.3402980428e+02 -6.50e-01 7.24e-08 -7.430188e+04 -3.415685e+00 After 7 iterations the fit converged. final sum of squares of residuals : 134.03 rel. change during last iteration : -6.50287e-06 degrees of freedom (FIT_NDF) : 207 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.804666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.647487 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -74301.9 +/- 2.564e+09 (3.451e+06%) b = -3.41568 +/- 0.1113 (3.259%) correlation matrix of the fit parameters: a b a 1.000 b -0.866 1.000 ******************************************************************************* Tue Mar 24 21:41:56 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:44:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:44:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:44:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:44:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:44:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:44:36 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 21:44:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:46:32 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:46:32 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:46:32 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:46:32 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:46:32 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:46:32 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 21:46:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:47:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:47:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:47:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:47:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:47:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:47:45 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 21:47:46 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:48:11 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:48:11 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:48:11 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:48:11 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:48:11 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:48:11 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 21:48:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:49:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:49:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:49:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:49:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:49:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:49:37 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 21:49:37 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:50:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:50:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:50:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:50:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:50:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:50:41 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 21:50:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:52:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:52:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:52:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:52:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:52:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:52:17 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 21:52:17 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:52:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:52:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:52:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:52:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:52:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:52:42 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 21:52:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:53:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:53:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:53:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:53:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:53:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:53:55 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 21:53:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:55:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:55:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:55:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:55:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:55:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:55:01 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 21:55:02 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:56:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:56:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:56:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:56:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:56:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:56:32 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.8202887567e+03 0.00e+00 7.24e-01 1.000000e+00 1.000000e+00 7 1.3402980428e+02 -6.50e-01 7.24e-08 -7.430188e+04 -3.415685e+00 After 7 iterations the fit converged. final sum of squares of residuals : 134.03 rel. change during last iteration : -6.50287e-06 degrees of freedom (FIT_NDF) : 207 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.804666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.647487 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -74301.9 +/- 2.564e+09 (3.451e+06%) b = -3.41568 +/- 0.1113 (3.259%) correlation matrix of the fit parameters: a b a 1.000 b -0.866 1.000 ******************************************************************************* Tue Mar 24 21:56:32 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:56:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:56:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:56:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:56:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:56:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:56:57 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 21:56:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 21:59:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 21:59:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 21:59:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 21:59:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 21:59:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 21:59:14 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 21:59:15 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 22:00:15 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 22:00:15 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 22:00:15 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 22:00:15 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 22:00:15 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 22:00:15 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 22:00:16 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Mar 24 22:00:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Mar 24 22:00:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Mar 24 22:00:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Mar 24 22:00:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Mar 24 22:00:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Mar 24 22:00:53 2020 FIT: data read from 'data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Mar 24 22:00:54 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 11:20:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 11:20:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 11:20:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 11:20:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 11:20:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 11:20:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 11:20:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 11:20:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 11:23:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 11:23:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 11:23:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 11:23:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 11:23:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 11:23:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 11:23:56 2020 FIT: data read from 'condo/data_condo10.txt' index 0 u 1:2 format = x:z #datapoints = 439 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6012612279e+03 0.00e+00 3.71e-01 1.000000e+00 13 1.4567113409e+02 -7.88e-02 3.71e-06 4.745819e-02 After 13 iterations the fit converged. final sum of squares of residuals : 145.671 rel. change during last iteration : -7.8833e-07 degrees of freedom (FIT_NDF) : 438 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.5767 variance of residuals (reduced chisquare) = WSSR/ndf : 0.332582 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474582 +/- 0.001259 (2.654%) ******************************************************************************* Wed Mar 25 11:23:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 11:28:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 11:28:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 11:28:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 11:28:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 11:28:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 11:28:03 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 11:28:04 2020 FIT: data read from 'condo/data_condo10.txt' index 0 u 1:2 format = x:z #datapoints = 364 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.038)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.7148647935e+03 0.00e+00 3.63e-01 1.000000e+00 15 7.0670514634e+00 -2.88e-02 3.63e-06 2.025847e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.06705 rel. change during last iteration : -2.87686e-07 degrees of freedom (FIT_NDF) : 363 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.139529 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0194685 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0202585 +/- 0.0002234 (1.103%) ******************************************************************************* Wed Mar 25 11:28:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 11:28:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 11:28:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 11:28:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 11:28:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 11:28:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 11:28:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 11:28:44 2020 FIT: data read from 'condo/data_condo10.txt' index 0 u 1:2 format = x:z #datapoints = 364 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.038)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.7148647935e+03 0.00e+00 3.63e-01 1.000000e+00 15 7.0670514634e+00 -2.88e-02 3.63e-06 2.025847e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.06705 rel. change during last iteration : -2.87686e-07 degrees of freedom (FIT_NDF) : 363 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.139529 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0194685 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0202585 +/- 0.0002234 (1.103%) ******************************************************************************* Wed Mar 25 11:28:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 11:34:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 11:34:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 11:34:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 11:34:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 11:34:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 11:34:15 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 11:34:15 2020 FIT: data read from 'condo/data_condo10.txt' index 0 u 1:2 format = x:z #datapoints = 364 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.038)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.7148647935e+03 0.00e+00 3.63e-01 1.000000e+00 15 7.0670514634e+00 -2.88e-02 3.63e-06 2.025847e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.06705 rel. change during last iteration : -2.87686e-07 degrees of freedom (FIT_NDF) : 363 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.139529 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0194685 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0202585 +/- 0.0002234 (1.103%) ******************************************************************************* Wed Mar 25 11:34:16 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 11:41:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 11:41:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 11:41:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 11:41:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 11:41:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 11:41:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 11:41:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 298 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.038)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0639283931e+03 0.00e+00 2.07e-01 1.000000e+00 42 5.0608038512e+02 -8.69e-01 2.07e-03 6.368977e-02 After 42 iterations the fit converged. final sum of squares of residuals : 506.08 rel. change during last iteration : -8.68717e-06 degrees of freedom (FIT_NDF) : 297 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.30536 variance of residuals (reduced chisquare) = WSSR/ndf : 1.70397 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0636898 +/- 0.003148 (4.943%) ******************************************************************************* Wed Mar 25 11:41:22 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 11:45:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 11:45:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 11:45:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 11:45:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 11:45:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 11:45:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 11:45:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 11:45:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 11:48:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 11:48:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 11:48:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 11:48:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 11:48:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 11:48:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 11:48:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 11:48:06 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 11:51:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 11:51:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 11:51:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 11:51:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 11:51:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 11:51:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 11:51:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 11:51:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 11:52:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 11:52:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 11:52:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 11:52:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 11:52:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 11:52:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 11:52:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 11:52:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 11:52:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 11:52:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 11:52:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 11:52:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 11:52:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 11:52:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 11:52:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 11:52:54 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 18:54:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 18:54:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 18:54:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 18:54:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 18:54:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 18:54:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 18:54:38 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 18:54:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 18:55:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 18:55:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 18:55:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 18:55:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 18:55:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 18:55:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 18:55:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 18:55:49 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 18:56:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 18:56:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 18:56:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 18:56:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 18:56:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 18:56:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 18:56:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 18:56:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 18:57:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 18:57:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 18:57:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 18:57:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 18:57:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 18:57:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 18:57:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 18:57:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 18:58:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 18:58:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 18:58:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 18:58:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 18:58:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 18:58:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 18:58:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 18:58:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 18:59:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 18:59:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 18:59:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 18:59:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 18:59:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 18:59:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 18:59:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 18:59:11 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:03:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:03:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:03:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:03:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:03:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:03:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:03:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:03:49 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:05:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:05:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:05:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:05:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:05:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:05:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:05:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:05:50 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:09:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:09:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:09:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:09:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:09:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:09:50 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:09:50 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:09:51 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:12:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:12:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:12:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:12:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:12:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:12:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:12:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:12:19 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:21:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:21:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:21:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:21:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:21:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:21:59 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:22:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:22:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:22:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:22:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:22:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:22:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:22:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:22:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:22:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:22:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:25:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:25:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:25:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:25:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:25:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:25:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:25:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:25:57 2020 FIT: data read from 'condo/data_condo12.txt' index 0 u 1:2 format = x:z #datapoints = 311 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5668072355e+02 0.00e+00 2.15e-01 1.000000e+00 7 4.1975978812e+01 -7.79e-01 2.15e-03 1.527648e-01 After 7 iterations the fit converged. final sum of squares of residuals : 41.976 rel. change during last iteration : -7.7854e-06 degrees of freedom (FIT_NDF) : 310 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.367976 variance of residuals (reduced chisquare) = WSSR/ndf : 0.135406 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.152765 +/- 0.003377 (2.211%) ******************************************************************************* Wed Mar 25 19:25:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:27:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:27:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:27:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:27:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:27:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:27:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:27:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:27:34 2020 FIT: data read from 'condo/data_condo12.txt' index 0 u 1:2 format = x:z #datapoints = 311 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5668072355e+02 0.00e+00 2.15e-01 1.000000e+00 7 4.1975978812e+01 -7.79e-01 2.15e-03 1.527648e-01 After 7 iterations the fit converged. final sum of squares of residuals : 41.976 rel. change during last iteration : -7.7854e-06 degrees of freedom (FIT_NDF) : 310 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.367976 variance of residuals (reduced chisquare) = WSSR/ndf : 0.135406 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.152765 +/- 0.003377 (2.211%) ******************************************************************************* Wed Mar 25 19:27:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:28:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:28:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:28:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:28:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:28:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:28:50 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:28:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:28:51 2020 FIT: data read from 'condo/data_condo12.txt' index 0 u 1:2 format = x:z #datapoints = 489 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3556603527e+03 0.00e+00 3.71e-01 1.000000e+00 20 1.9932499747e+02 -1.34e-02 3.71e-05 9.176124e-02 After 20 iterations the fit converged. final sum of squares of residuals : 199.325 rel. change during last iteration : -1.33543e-07 degrees of freedom (FIT_NDF) : 488 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.639103 variance of residuals (reduced chisquare) = WSSR/ndf : 0.408453 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0917612 +/- 0.00214 (2.332%) ******************************************************************************* Wed Mar 25 19:28:52 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:30:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:30:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:30:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:30:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:30:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:30:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:30:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:30:35 2020 FIT: data read from 'condo/data_condo12.txt' index 0 u 1:2 format = x:z #datapoints = 183 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.1988253650e+02 0.00e+00 6.57e-01 1.000000e+00 4 4.1870849875e+00 -6.49e-02 6.57e-05 2.545186e+00 After 4 iterations the fit converged. final sum of squares of residuals : 4.18708 rel. change during last iteration : -6.48995e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151677 variance of residuals (reduced chisquare) = WSSR/ndf : 0.023006 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.54519 +/- 0.0276 (1.084%) ******************************************************************************* Wed Mar 25 19:30:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:31:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:31:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:31:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:31:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:31:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:31:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:31:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:31:11 2020 FIT: data read from 'condo/data_condo12.txt' index 0 u 1:2 format = x:z #datapoints = 183 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.1988253650e+02 0.00e+00 6.57e-01 1.000000e+00 4 4.1870849875e+00 -6.49e-02 6.57e-05 2.545186e+00 After 4 iterations the fit converged. final sum of squares of residuals : 4.18708 rel. change during last iteration : -6.48995e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151677 variance of residuals (reduced chisquare) = WSSR/ndf : 0.023006 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.54519 +/- 0.0276 (1.084%) ******************************************************************************* Wed Mar 25 19:31:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:32:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:32:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:32:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:32:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:32:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:32:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:32:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:32:43 2020 FIT: data read from 'condo/data_condo12.txt' index 0 u 1:2 format = x:z #datapoints = 174 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.1527833247e+02 0.00e+00 6.59e-01 1.000000e+00 4 3.3354437803e+00 -3.56e-02 6.59e-05 2.535294e+00 After 4 iterations the fit converged. final sum of squares of residuals : 3.33544 rel. change during last iteration : -3.56483e-07 degrees of freedom (FIT_NDF) : 173 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.138853 variance of residuals (reduced chisquare) = WSSR/ndf : 0.01928 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.53529 +/- 0.02525 (0.9961%) ******************************************************************************* Wed Mar 25 19:32:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:33:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:33:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:33:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:33:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:33:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:33:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:33:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:33:22 2020 FIT: data read from 'condo/data_condo12.txt' index 0 u 1:2 format = x:z #datapoints = 174 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.45)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 6.0222112225e+01 0.00e+00 6.74e-01 1.000000e+00 5 3.8533071058e-01 0.00e+00 6.74e+03 2.108662e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.385331 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 173 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0471948 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00222735 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.10866 +/- 0.007755 (0.3678%) ******************************************************************************* Wed Mar 25 19:33:22 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:36:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:36:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:36:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:36:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:36:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:36:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:36:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:36:02 2020 FIT: data read from 'condo/data_condo12.txt' index 0 u 1:2 format = x:z #datapoints = 174 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.45)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 6.0222112225e+01 0.00e+00 6.74e-01 1.000000e+00 5 3.8533071058e-01 0.00e+00 6.74e+03 2.108662e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.385331 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 173 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0471948 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00222735 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.10866 +/- 0.007755 (0.3678%) ******************************************************************************* Wed Mar 25 19:36:03 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:36:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:36:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:36:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:36:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:36:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:36:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:36:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:36:36 2020 FIT: data read from 'condo/data_condo12.txt' index 0 u 1:2 format = x:z #datapoints = 174 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.45)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 6.0222112225e+01 0.00e+00 6.74e-01 1.000000e+00 5 3.8533071058e-01 0.00e+00 6.74e+03 2.108662e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.385331 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 173 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0471948 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00222735 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.10866 +/- 0.007755 (0.3678%) ******************************************************************************* Wed Mar 25 19:36:37 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:56:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:56:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:56:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:56:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:56:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:56:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:56:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:56:34 2020 FIT: data read from 'condo/data_condo13.txt' index 0 u 1:2 format = x:z #datapoints = 99 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.45)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 5.3961127354e+01 0.00e+00 1.01e+00 1.000000e+00 9 4.7535340958e+01 -1.39e-01 1.01e-09 8.131560e-01 After 9 iterations the fit converged. final sum of squares of residuals : 47.5353 rel. change during last iteration : -1.38786e-06 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.696459 variance of residuals (reduced chisquare) = WSSR/ndf : 0.485054 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.813156 +/- 0.05505 (6.77%) ******************************************************************************* Wed Mar 25 19:56:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:57:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:57:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:57:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:57:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:57:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:57:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:57:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:57:14 2020 FIT: data read from 'condo/data_condo13.txt' index 0 u 1:2 format = x:z #datapoints = 99 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.45)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 5.3961127354e+01 0.00e+00 1.01e+00 1.000000e+00 9 4.7535340958e+01 -1.39e-01 1.01e-09 8.131560e-01 After 9 iterations the fit converged. final sum of squares of residuals : 47.5353 rel. change during last iteration : -1.38786e-06 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.696459 variance of residuals (reduced chisquare) = WSSR/ndf : 0.485054 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.813156 +/- 0.05505 (6.77%) ******************************************************************************* Wed Mar 25 19:57:14 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Mar 25 19:58:32 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Mar 25 19:58:32 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Mar 25 19:58:32 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Mar 25 19:58:32 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Mar 25 19:58:32 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Mar 25 19:58:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Mar 25 19:58:33 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Mar 25 19:58:33 2020 FIT: data read from 'condo/data_condo13.txt' index 0 u 1:2 format = x:z #datapoints = 88 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.55)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 5.1764291684e+01 0.00e+00 9.44e-01 1.000000e+00 5 9.8999287707e-01 -4.05e-02 9.44e-06 3.125037e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.989993 rel. change during last iteration : -4.04795e-07 degrees of freedom (FIT_NDF) : 87 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.106673 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0113792 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.312504 +/- 0.006709 (2.147%) ******************************************************************************* Wed Mar 25 19:58:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:06:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:06:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:06:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:06:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:06:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:06:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:06:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:06:07 2020 FIT: data read from 'condo/data_condo_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 1040 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.55)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.8825706192e+03 0.00e+00 3.50e-01 1.000000e+00 8 1.1210217858e+02 -2.84e-01 3.50e-09 1.633815e+01 After 8 iterations the fit converged. final sum of squares of residuals : 112.102 rel. change during last iteration : -2.83898e-06 degrees of freedom (FIT_NDF) : 1039 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.328473 variance of residuals (reduced chisquare) = WSSR/ndf : 0.107894 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 16.3381 +/- 0.1533 (0.9381%) ******************************************************************************* Thu Mar 26 10:06:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:07:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:07:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:07:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:07:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:07:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:07:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:07:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:07:37 2020 FIT: data read from 'condo/data_condo_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 1028 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.98*exp(-(x-0.6)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 1.8380879068e+03 0.00e+00 2.77e-01 1.000000e+00 8 1.1377488127e+02 -1.59e-01 2.77e-09 1.626171e+01 After 8 iterations the fit converged. final sum of squares of residuals : 113.775 rel. change during last iteration : -1.59207e-06 degrees of freedom (FIT_NDF) : 1027 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.332842 variance of residuals (reduced chisquare) = WSSR/ndf : 0.110784 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 16.2617 +/- 0.1547 (0.9514%) ******************************************************************************* Thu Mar 26 10:07:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:08:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:08:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:08:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:08:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:08:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:08:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:08:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:08:02 2020 FIT: data read from 'condo/data_condo_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 1028 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.98*exp(-(x-0.6)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.3287707207e+02 0.00e+00 7.34e-01 1.000000e+00 1.000000e+00 8 2.5263928140e+01 -1.09e-01 7.34e-09 7.215012e+00 7.026935e-01 After 8 iterations the fit converged. final sum of squares of residuals : 25.2639 rel. change during last iteration : -1.08566e-06 degrees of freedom (FIT_NDF) : 1026 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.156919 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0246237 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.21501 +/- 0.07097 (0.9837%) b = 0.702694 +/- 0.007332 (1.043%) correlation matrix of the fit parameters: a b a 1.000 b -0.745 1.000 ******************************************************************************* Thu Mar 26 10:08:03 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:15:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:15:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:15:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:15:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:15:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:15:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:15:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:15:19 2020 FIT: data read from 'condo/data_condo_100µF_2.txt' index 0 u 1:2 format = x:z #datapoints = 171 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.98*exp(-(x-0.6)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 8.2510023512e+01 0.00e+00 7.61e-01 1.000000e+00 1.000000e+00 7 3.9404149290e+00 -7.45e-01 7.61e-08 9.062418e+00 6.789127e-01 After 7 iterations the fit converged. final sum of squares of residuals : 3.94041 rel. change during last iteration : -7.45133e-06 degrees of freedom (FIT_NDF) : 169 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.152696 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0233161 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.06242 +/- 0.2142 (2.364%) b = 0.678913 +/- 0.01532 (2.257%) correlation matrix of the fit parameters: a b a 1.000 b -0.647 1.000 ******************************************************************************* Thu Mar 26 10:15:20 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:17:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:17:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:17:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:17:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:17:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:17:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:17:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:17:32 2020 FIT: data read from 'condo/data_condo_100µF_2.txt' index 0 u 1:2 format = x:z #datapoints = 171 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.98*exp(-(x-0.6)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 8.2510023512e+01 0.00e+00 7.61e-01 1.000000e+00 1.000000e+00 7 3.9404149290e+00 -7.45e-01 7.61e-08 9.062418e+00 6.789127e-01 After 7 iterations the fit converged. final sum of squares of residuals : 3.94041 rel. change during last iteration : -7.45133e-06 degrees of freedom (FIT_NDF) : 169 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.152696 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0233161 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.06242 +/- 0.2142 (2.364%) b = 0.678913 +/- 0.01532 (2.257%) correlation matrix of the fit parameters: a b a 1.000 b -0.647 1.000 ******************************************************************************* Thu Mar 26 10:17:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:19:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:19:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:19:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:19:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:19:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:19:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:19:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:19:13 2020 FIT: data read from 'condo/data_condo_100µF_2.txt' index 0 u 1:2 format = x:z #datapoints = 169 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.892*exp(-(x-1)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8575349445e+01 0.00e+00 7.23e-01 1.000000e+00 1.000000e+00 8 3.0979826280e+00 -1.45e-03 7.23e-09 8.728298e+00 6.949273e-01 After 8 iterations the fit converged. final sum of squares of residuals : 3.09798 rel. change during last iteration : -1.45328e-08 degrees of freedom (FIT_NDF) : 167 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.136201 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0185508 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.7283 +/- 0.1908 (2.186%) b = 0.694927 +/- 0.01367 (1.967%) correlation matrix of the fit parameters: a b a 1.000 b -0.642 1.000 ******************************************************************************* Thu Mar 26 10:19:14 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:19:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:19:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:19:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:19:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:19:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:19:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:19:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:19:48 2020 FIT: data read from 'condo/data_condo_100µF_2.txt' index 0 u 1:2 format = x:z #datapoints = 169 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.892*exp(-(x-1)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8575349445e+01 0.00e+00 7.23e-01 1.000000e+00 1.000000e+00 8 3.0979826280e+00 -1.45e-03 7.23e-09 8.728298e+00 6.949273e-01 After 8 iterations the fit converged. final sum of squares of residuals : 3.09798 rel. change during last iteration : -1.45328e-08 degrees of freedom (FIT_NDF) : 167 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.136201 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0185508 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.7283 +/- 0.1908 (2.186%) b = 0.694927 +/- 0.01367 (1.967%) correlation matrix of the fit parameters: a b a 1.000 b -0.642 1.000 ******************************************************************************* Thu Mar 26 10:19:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:20:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:20:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:20:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:20:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:20:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:20:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:20:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:20:11 2020 FIT: data read from 'condo/data_condo_100µF_2.txt' index 0 u 1:2 format = x:z #datapoints = 169 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.892*exp(-(x-1)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8575349445e+01 0.00e+00 7.23e-01 1.000000e+00 1.000000e+00 8 3.0979826280e+00 -1.45e-03 7.23e-09 8.728298e+00 6.949273e-01 After 8 iterations the fit converged. final sum of squares of residuals : 3.09798 rel. change during last iteration : -1.45328e-08 degrees of freedom (FIT_NDF) : 167 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.136201 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0185508 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.7283 +/- 0.1908 (2.186%) b = 0.694927 +/- 0.01367 (1.967%) correlation matrix of the fit parameters: a b a 1.000 b -0.642 1.000 ******************************************************************************* Thu Mar 26 10:20:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:20:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:20:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:20:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:20:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:20:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:20:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:20:42 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:20:42 2020 FIT: data read from 'condo/data_condo_100µF_2.txt' index 0 u 1:2 format = x:z #datapoints = 169 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.892*exp(-(x-1)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.8575349445e+01 0.00e+00 7.23e-01 1.000000e+00 1.000000e+00 8 3.0979826280e+00 -1.45e-03 7.23e-09 8.728298e+00 6.949273e-01 After 8 iterations the fit converged. final sum of squares of residuals : 3.09798 rel. change during last iteration : -1.45328e-08 degrees of freedom (FIT_NDF) : 167 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.136201 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0185508 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.7283 +/- 0.1908 (2.186%) b = 0.694927 +/- 0.01367 (1.967%) correlation matrix of the fit parameters: a b a 1.000 b -0.642 1.000 ******************************************************************************* Thu Mar 26 10:20:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:31:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:31:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:31:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:31:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:31:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:31:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:31:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:31:29 2020 FIT: data read from 'condo/data_condo_100µF_3.txt' index 0 u 1:2 format = x:z #datapoints = 207 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.892*exp(-(x-1)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4262664367e+02 0.00e+00 9.01e-01 1.000000e+00 1.000000e+00 7 3.3628809300e+00 -1.41e-01 9.01e-08 9.880099e+00 6.714240e-01 After 7 iterations the fit converged. final sum of squares of residuals : 3.36288 rel. change during last iteration : -1.40536e-06 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.128079 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0164043 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.8801 +/- 0.1847 (1.869%) b = 0.671424 +/- 0.01125 (1.676%) correlation matrix of the fit parameters: a b a 1.000 b -0.612 1.000 ******************************************************************************* Thu Mar 26 10:31:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:32:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:32:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:32:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:32:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:32:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:32:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:32:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:32:41 2020 FIT: data read from 'condo/data_condo_100µF_3.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.884*exp(-(x-1.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6190332093e+01 0.00e+00 7.20e-01 1.000000e+00 1.000000e+00 7 2.4468754430e+00 -1.88e-01 7.20e-08 9.135403e+00 6.930466e-01 After 7 iterations the fit converged. final sum of squares of residuals : 2.44688 rel. change during last iteration : -1.88474e-06 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11006 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0121132 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.1354 +/- 0.1512 (1.655%) b = 0.693047 +/- 0.009618 (1.388%) correlation matrix of the fit parameters: a b a 1.000 b -0.598 1.000 ******************************************************************************* Thu Mar 26 10:32:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:36:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:36:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:36:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:36:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:36:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:37:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:37:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:37:01 2020 FIT: data read from 'condo/data_condo_100µF_3.txt' index 0 u 1:2 format = x:z #datapoints = 200 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.288*exp(-(x-3.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7709755509e+01 0.00e+00 7.17e-01 1.000000e+00 1.000000e+00 7 1.9612420899e+00 -1.10e-01 7.17e-08 8.989947e+00 6.933989e-01 After 7 iterations the fit converged. final sum of squares of residuals : 1.96124 rel. change during last iteration : -1.09831e-06 degrees of freedom (FIT_NDF) : 198 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0995252 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00990526 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.98995 +/- 0.1604 (1.784%) b = 0.693399 +/- 0.008793 (1.268%) correlation matrix of the fit parameters: a b a 1.000 b -0.600 1.000 ******************************************************************************* Thu Mar 26 10:37:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 10:37:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 10:37:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 10:37:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 10:37:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 10:37:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 10:37:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 10:37:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 10:37:36 2020 FIT: data read from 'condo/data_condo_100µF_3.txt' index 0 u 1:2 format = x:z #datapoints = 200 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.288*exp(-(x-3.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7709755509e+01 0.00e+00 7.17e-01 1.000000e+00 1.000000e+00 7 1.9612420899e+00 -1.10e-01 7.17e-08 8.989947e+00 6.933989e-01 After 7 iterations the fit converged. final sum of squares of residuals : 1.96124 rel. change during last iteration : -1.09831e-06 degrees of freedom (FIT_NDF) : 198 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0995252 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00990526 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.98995 +/- 0.1604 (1.784%) b = 0.693399 +/- 0.008793 (1.268%) correlation matrix of the fit parameters: a b a 1.000 b -0.600 1.000 ******************************************************************************* Thu Mar 26 10:37:37 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 11:05:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 11:05:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 11:05:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 11:05:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 11:05:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 11:05:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 11:05:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 11:05:54 2020 FIT: data read from 'condo/data_condo_100µF_3.txt' index 0 u 1:2 format = x:z #datapoints = 200 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.288*exp(-(x-3.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7709755509e+01 0.00e+00 7.17e-01 1.000000e+00 1.000000e+00 7 1.9612420899e+00 -1.10e-01 7.17e-08 8.989947e+00 6.933989e-01 After 7 iterations the fit converged. final sum of squares of residuals : 1.96124 rel. change during last iteration : -1.09831e-06 degrees of freedom (FIT_NDF) : 198 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0995252 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00990526 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.98995 +/- 0.1604 (1.784%) b = 0.693399 +/- 0.008793 (1.268%) correlation matrix of the fit parameters: a b a 1.000 b -0.600 1.000 ******************************************************************************* Thu Mar 26 11:05:54 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 11:06:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 11:06:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 11:06:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 11:06:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 11:06:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 11:06:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 11:06:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 11:06:07 2020 FIT: data read from 'condo/data_condo_100µF_3.txt' index 0 u 1:2 format = x:z #datapoints = 200 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.288*exp(-(x-3.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7709755509e+01 0.00e+00 7.17e-01 1.000000e+00 1.000000e+00 7 1.9612420899e+00 -1.10e-01 7.17e-08 8.989947e+00 6.933989e-01 After 7 iterations the fit converged. final sum of squares of residuals : 1.96124 rel. change during last iteration : -1.09831e-06 degrees of freedom (FIT_NDF) : 198 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0995252 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00990526 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.98995 +/- 0.1604 (1.784%) b = 0.693399 +/- 0.008793 (1.268%) correlation matrix of the fit parameters: a b a 1.000 b -0.600 1.000 ******************************************************************************* Thu Mar 26 11:06:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 16:23:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 16:23:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 16:23:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 16:23:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 16:23:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 16:23:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 16:23:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 16:23:29 2020 FIT: data read from 'condo/data_condo_4.7µF.txt' index 0 u 1:2 format = x:z #datapoints = 234 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.288*exp(-(x-3.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1761097155e+05 0.00e+00 4.99e+01 1.000000e+00 1.000000e+00 11 9.3834564356e+01 -6.18e-01 4.99e-10 2.060208e+01 -2.033049e+00 After 11 iterations the fit converged. final sum of squares of residuals : 93.8346 rel. change during last iteration : -6.18088e-06 degrees of freedom (FIT_NDF) : 232 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.635971 variance of residuals (reduced chisquare) = WSSR/ndf : 0.404459 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 20.6021 +/- 1.933 (9.381%) b = -2.03305 +/- 0.04802 (2.362%) correlation matrix of the fit parameters: a b a 1.000 b -0.500 1.000 ******************************************************************************* Thu Mar 26 16:23:29 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 16:24:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 16:24:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 16:24:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 16:24:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 16:24:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 16:24:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 16:24:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 16:24:19 2020 FIT: data read from 'condo/data_condo_4.7µF.txt' index 0 u 1:2 format = x:z #datapoints = 234 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.288*exp(-(x-3.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1761097155e+05 0.00e+00 4.99e+01 1.000000e+00 1.000000e+00 11 9.3834564356e+01 -6.18e-01 4.99e-10 2.060208e+01 -2.033049e+00 After 11 iterations the fit converged. final sum of squares of residuals : 93.8346 rel. change during last iteration : -6.18088e-06 degrees of freedom (FIT_NDF) : 232 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.635971 variance of residuals (reduced chisquare) = WSSR/ndf : 0.404459 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 20.6021 +/- 1.933 (9.381%) b = -2.03305 +/- 0.04802 (2.362%) correlation matrix of the fit parameters: a b a 1.000 b -0.500 1.000 ******************************************************************************* Thu Mar 26 16:24:19 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 16:25:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 16:25:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 16:25:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 16:25:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 16:25:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 16:25:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 16:25:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 16:25:43 2020 FIT: data read from 'condo/data_condo_4.7µF.txt' index 0 u 1:2 format = x:z #datapoints = 224 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.956*exp(-(x-0.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0380367131e+02 0.00e+00 8.21e-01 1.000000e+00 1.000000e+00 5 1.1922829090e+00 -9.91e-02 8.21e-06 3.514785e-01 6.770810e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.19228 rel. change during last iteration : -9.90746e-07 degrees of freedom (FIT_NDF) : 222 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0732847 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00537064 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.351478 +/- 0.005253 (1.494%) b = 0.677081 +/- 0.005235 (0.7732%) correlation matrix of the fit parameters: a b a 1.000 b -0.354 1.000 ******************************************************************************* Thu Mar 26 16:25:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 16:26:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 16:26:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 16:26:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 16:26:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 16:26:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 16:27:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 16:27:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 16:27:01 2020 FIT: data read from 'condo/data_condo_4.7µF.txt' index 0 u 1:2 format = x:z #datapoints = 224 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.956*exp(-(x-0.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0380367131e+02 0.00e+00 8.21e-01 1.000000e+00 1.000000e+00 5 1.1922829090e+00 -9.91e-02 8.21e-06 3.514785e-01 6.770810e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.19228 rel. change during last iteration : -9.90746e-07 degrees of freedom (FIT_NDF) : 222 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0732847 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00537064 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.351478 +/- 0.005253 (1.494%) b = 0.677081 +/- 0.005235 (0.7732%) correlation matrix of the fit parameters: a b a 1.000 b -0.354 1.000 ******************************************************************************* Thu Mar 26 16:27:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 16:33:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 16:33:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 16:33:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 16:33:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 16:33:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 16:33:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 16:33:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 16:33:40 2020 FIT: data read from 'condo/data_condo_4.7µF.txt' index 0 u 1:2 format = x:z #datapoints = 224 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.956*exp(-(x-0.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0380367131e+02 0.00e+00 8.21e-01 1.000000e+00 1.000000e+00 5 1.1922829090e+00 -9.91e-02 8.21e-06 3.514785e-01 6.770810e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.19228 rel. change during last iteration : -9.90746e-07 degrees of freedom (FIT_NDF) : 222 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0732847 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00537064 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.351478 +/- 0.005253 (1.494%) b = 0.677081 +/- 0.005235 (0.7732%) correlation matrix of the fit parameters: a b a 1.000 b -0.354 1.000 ******************************************************************************* Thu Mar 26 16:33:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 16:34:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 16:34:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 16:34:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 16:34:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 16:34:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 16:34:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 16:34:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 16:34:26 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 16:35:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 16:35:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 16:35:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 16:35:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 16:35:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 16:35:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 16:35:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 16:35:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 222 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.956*exp(-(x-0.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.6876128972e+02 0.00e+00 8.67e-01 1.000000e+00 1.000000e+00 4 4.6895872488e+01 -4.25e-05 8.67e-04 4.625974e-01 8.220544e-01 After 4 iterations the fit converged. final sum of squares of residuals : 46.8959 rel. change during last iteration : -4.2498e-10 degrees of freedom (FIT_NDF) : 220 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.461696 variance of residuals (reduced chisquare) = WSSR/ndf : 0.213163 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.462597 +/- 0.01005 (2.172%) b = 0.822054 +/- 0.03102 (3.774%) correlation matrix of the fit parameters: a b a 1.000 b 0.048 1.000 ******************************************************************************* Thu Mar 26 16:35:14 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 16:36:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 16:36:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 16:36:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 16:36:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 16:36:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 16:36:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 16:36:46 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 16:36:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 16:36:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 21:32:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 21:32:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 21:32:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 21:32:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 21:32:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 21:32:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 21:32:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 21:32:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:32:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:32:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 9967 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3994254214e+03 0.00e+00 7.09e-01 1.000000e+00 1.000000e+00 12 1.0605526691e+03 -8.52e-01 7.09e-13 1.077172e+02 7.302533e-01 After 12 iterations the fit converged. final sum of squares of residuals : 1060.55 rel. change during last iteration : -8.51543e-06 degrees of freedom (FIT_NDF) : 9965 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.326233 variance of residuals (reduced chisquare) = WSSR/ndf : 0.106428 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 107.717 +/- 0.5151 (0.4782%) b = 0.730253 +/- 0.003419 (0.4682%) correlation matrix of the fit parameters: a b a 1.000 b -0.294 1.000 ******************************************************************************* Thu Mar 26 21:32:26 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 21:33:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 21:33:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 21:33:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 21:33:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 21:33:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 21:33:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 21:33:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 21:33:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:33:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:33:28 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 9967 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3994254214e+03 0.00e+00 7.09e-01 1.000000e+00 1.000000e+00 12 1.0605526691e+03 -8.52e-01 7.09e-13 1.077172e+02 7.302533e-01 After 12 iterations the fit converged. final sum of squares of residuals : 1060.55 rel. change during last iteration : -8.51543e-06 degrees of freedom (FIT_NDF) : 9965 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.326233 variance of residuals (reduced chisquare) = WSSR/ndf : 0.106428 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 107.717 +/- 0.5151 (0.4782%) b = 0.730253 +/- 0.003419 (0.4682%) correlation matrix of the fit parameters: a b a 1.000 b -0.294 1.000 ******************************************************************************* Thu Mar 26 21:33:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 21:34:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 21:34:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 21:34:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 21:34:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 21:34:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 21:34:38 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 21:34:38 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 21:34:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:34:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:34:39 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 9967 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.656*exp(-(x-0)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.4118365039e+03 0.00e+00 7.08e-01 1.000000e+00 1.000000e+00 10 2.9730087812e+02 -4.76e-01 7.08e-11 1.505450e+02 7.093481e-01 After 10 iterations the fit converged. final sum of squares of residuals : 297.301 rel. change during last iteration : -4.76006e-06 degrees of freedom (FIT_NDF) : 9965 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.172727 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0298345 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 150.545 +/- 0.4176 (0.2774%) b = 0.709348 +/- 0.001845 (0.2601%) correlation matrix of the fit parameters: a b a 1.000 b -0.348 1.000 ******************************************************************************* Thu Mar 26 21:34:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 21:37:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 21:37:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 21:37:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 21:37:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 21:37:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 21:37:38 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 21:37:38 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 21:37:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:37:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:37:39 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 9967 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.656*exp(-(x-0)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.4118365039e+03 0.00e+00 7.08e-01 1.000000e+00 1.000000e+00 10 2.9730087812e+02 -4.76e-01 7.08e-11 1.505450e+02 7.093481e-01 After 10 iterations the fit converged. final sum of squares of residuals : 297.301 rel. change during last iteration : -4.76006e-06 degrees of freedom (FIT_NDF) : 9965 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.172727 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0298345 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 150.545 +/- 0.4176 (0.2774%) b = 0.709348 +/- 0.001845 (0.2601%) correlation matrix of the fit parameters: a b a 1.000 b -0.348 1.000 ******************************************************************************* Thu Mar 26 21:37:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 21:38:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 21:38:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 21:38:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 21:38:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 21:38:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 21:38:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 21:38:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 21:38:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:38:09 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:38:09 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 9967 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.656*exp(-(x-0)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.4118365039e+03 0.00e+00 7.08e-01 1.000000e+00 1.000000e+00 10 2.9730087812e+02 -4.76e-01 7.08e-11 1.505450e+02 7.093481e-01 After 10 iterations the fit converged. final sum of squares of residuals : 297.301 rel. change during last iteration : -4.76006e-06 degrees of freedom (FIT_NDF) : 9965 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.172727 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0298345 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 150.545 +/- 0.4176 (0.2774%) b = 0.709348 +/- 0.001845 (0.2601%) correlation matrix of the fit parameters: a b a 1.000 b -0.348 1.000 ******************************************************************************* Thu Mar 26 21:38:11 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 21:39:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 21:39:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 21:39:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 21:39:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 21:39:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 21:39:15 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 21:39:15 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 21:39:15 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:39:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:39:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 9967 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.656*exp(-(x-0)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.4118365039e+03 0.00e+00 7.08e-01 1.000000e+00 1.000000e+00 10 2.9730087812e+02 -4.76e-01 7.08e-11 1.505450e+02 7.093481e-01 After 10 iterations the fit converged. final sum of squares of residuals : 297.301 rel. change during last iteration : -4.76006e-06 degrees of freedom (FIT_NDF) : 9965 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.172727 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0298345 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 150.545 +/- 0.4176 (0.2774%) b = 0.709348 +/- 0.001845 (0.2601%) correlation matrix of the fit parameters: a b a 1.000 b -0.348 1.000 ******************************************************************************* Thu Mar 26 21:39:18 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 21:40:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 21:40:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 21:40:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 21:40:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 21:40:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 21:40:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 21:40:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 21:40:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:40:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:40:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 9967 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.656*exp(-(x-0)/a)-0.7 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.3151273596e+04 0.00e+00 5.41e-02 1.000000e+00 16 1.4920223450e+04 -4.64e-01 5.41e-18 5.039550e+02 After 16 iterations the fit converged. final sum of squares of residuals : 14920.2 rel. change during last iteration : -4.63878e-06 degrees of freedom (FIT_NDF) : 9966 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.22357 variance of residuals (reduced chisquare) = WSSR/ndf : 1.49711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 503.955 +/- 5.075 (1.007%) ******************************************************************************* Thu Mar 26 21:40:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 21:41:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 21:41:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 21:41:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 21:41:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 21:41:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 21:41:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 21:41:20 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 21:41:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:41:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:41:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 9967 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.656*exp(-(x-0)/a)+0.7 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 6.9444206967e+03 0.00e+00 5.41e-02 1.000000e+00 10 2.9804125641e+02 -7.56e-02 5.41e-12 1.514607e+02 After 10 iterations the fit converged. final sum of squares of residuals : 298.041 rel. change during last iteration : -7.55644e-07 degrees of freedom (FIT_NDF) : 9966 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.172933 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0299058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 151.461 +/- 0.3932 (0.2596%) ******************************************************************************* Thu Mar 26 21:41:22 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 21:42:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 21:42:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 21:42:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 21:42:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 21:42:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 21:42:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 21:42:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 21:42:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:42:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:42:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 9967 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.656*exp(-(x-0)/a)+1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 6.4118365039e+03 0.00e+00 5.41e-02 1.000000e+00 9 1.0235807047e+03 -3.62e-01 5.41e-11 1.254385e+02 After 9 iterations the fit converged. final sum of squares of residuals : 1023.58 rel. change during last iteration : -3.61963e-06 degrees of freedom (FIT_NDF) : 9966 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.32048 variance of residuals (reduced chisquare) = WSSR/ndf : 0.102707 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 125.438 +/- 0.6632 (0.5287%) ******************************************************************************* Thu Mar 26 21:42:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 21:43:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 21:43:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 21:43:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 21:43:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 21:43:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 21:43:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 21:43:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 21:43:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:43:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 21:43:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 9967 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.656*exp(-(x-0)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.4118365039e+03 0.00e+00 7.08e-01 1.000000e+00 1.000000e+00 10 2.9730087812e+02 -4.76e-01 7.08e-11 1.505450e+02 7.093481e-01 After 10 iterations the fit converged. final sum of squares of residuals : 297.301 rel. change during last iteration : -4.76006e-06 degrees of freedom (FIT_NDF) : 9965 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.172727 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0298345 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 150.545 +/- 0.4176 (0.2774%) b = 0.709348 +/- 0.001845 (0.2601%) correlation matrix of the fit parameters: a b a 1.000 b -0.348 1.000 ******************************************************************************* Thu Mar 26 21:43:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 22:15:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 22:15:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 22:15:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 22:15:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 22:15:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 22:15:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 22:15:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 22:15:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 22:15:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 22:15:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.656*exp(-(x-0)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9311374537e+03 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 13 2.7193087486e+02 -1.51e-01 7.07e-14 1.176431e+02 9.899854e-01 After 13 iterations the fit converged. final sum of squares of residuals : 271.931 rel. change during last iteration : -1.50555e-06 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.412001 variance of residuals (reduced chisquare) = WSSR/ndf : 0.169745 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 117.643 +/- 1.269 (1.078%) b = 0.989985 +/- 0.01581 (1.597%) correlation matrix of the fit parameters: a b a 1.000 b -0.759 1.000 ******************************************************************************* Thu Mar 26 22:15:20 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 22:16:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 22:16:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 22:16:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 22:16:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 22:16:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 22:16:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 22:16:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 22:16:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 22:16:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 22:16:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.628*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7739049689e+03 0.00e+00 7.13e-01 1.000000e+00 1.000000e+00 14 3.5099101367e+02 -9.75e-01 7.13e-15 1.143696e+02 9.736378e-01 After 14 iterations the fit converged. final sum of squares of residuals : 350.991 rel. change during last iteration : -9.75102e-06 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.468076 variance of residuals (reduced chisquare) = WSSR/ndf : 0.219096 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 114.37 +/- 1.404 (1.227%) b = 0.973638 +/- 0.01767 (1.815%) correlation matrix of the fit parameters: a b a 1.000 b -0.750 1.000 ******************************************************************************* Thu Mar 26 22:16:24 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 22:17:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 22:17:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 22:17:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 22:17:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 22:17:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 22:17:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 22:17:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 22:17:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 22:17:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 22:17:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.628*exp(-(x-5.5)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 9.7486919352e+03 0.00e+00 1.34e-01 1.000000e+00 10 5.6483533641e+02 -6.42e-01 1.34e-11 2.141105e+02 After 10 iterations the fit converged. final sum of squares of residuals : 564.835 rel. change during last iteration : -6.41788e-06 degrees of freedom (FIT_NDF) : 1603 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.5936 variance of residuals (reduced chisquare) = WSSR/ndf : 0.352361 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 214.111 +/- 1.627 (0.7601%) ******************************************************************************* Thu Mar 26 22:17:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 22:18:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 22:18:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 22:18:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 22:18:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 22:18:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 22:18:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 22:18:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 22:18:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 22:18:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 22:18:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.628*exp(-(x-5.5)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 9.7486919352e+03 0.00e+00 1.34e-01 1.000000e+00 10 5.6483533641e+02 -6.42e-01 1.34e-11 2.141105e+02 After 10 iterations the fit converged. final sum of squares of residuals : 564.835 rel. change during last iteration : -6.41788e-06 degrees of freedom (FIT_NDF) : 1603 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.5936 variance of residuals (reduced chisquare) = WSSR/ndf : 0.352361 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 214.111 +/- 1.627 (0.7601%) ******************************************************************************* Thu Mar 26 22:18:50 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 22:19:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 22:19:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 22:19:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 22:19:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 22:19:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 22:19:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 22:19:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 22:19:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 22:19:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 22:19:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=7.628*exp(-(x-5.5)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 9.7486919352e+03 0.00e+00 1.34e-01 1.000000e+00 10 5.6483533641e+02 -6.42e-01 1.34e-11 2.141105e+02 After 10 iterations the fit converged. final sum of squares of residuals : 564.835 rel. change during last iteration : -6.41788e-06 degrees of freedom (FIT_NDF) : 1603 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.5936 variance of residuals (reduced chisquare) = WSSR/ndf : 0.352361 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 214.111 +/- 1.627 (0.7601%) ******************************************************************************* Thu Mar 26 22:19:37 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Mar 26 22:20:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Mar 26 22:20:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Mar 26 22:20:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Mar 26 22:20:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Mar 26 22:20:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Mar 26 22:20:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Mar 26 22:20:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Mar 26 22:20:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 22:20:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Mar 26 22:20:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Mar 26 22:20:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Mar 27 15:56:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Mar 27 15:56:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Mar 27 15:56:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Mar 27 15:56:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Mar 27 15:56:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Mar 27 15:56:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Mar 27 15:56:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Mar 27 15:56:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 15:56:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 15:56:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Mar 27 15:56:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Mar 27 15:56:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Mar 27 15:57:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Mar 27 15:57:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Mar 27 15:57:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Mar 27 15:57:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Mar 27 15:57:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Mar 27 15:57:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Mar 27 15:57:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Mar 27 15:57:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 15:57:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 15:57:28 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Mar 27 15:57:28 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Mar 27 15:57:29 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Mar 27 16:00:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Mar 27 16:00:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Mar 27 16:00:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Mar 27 16:00:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Mar 27 16:00:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Mar 27 16:00:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Mar 27 16:00:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Mar 27 16:00:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 16:00:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 16:00:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Mar 27 16:00:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Mar 27 16:00:59 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Mar 27 16:01:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Mar 27 16:01:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Mar 27 16:01:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Mar 27 16:01:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Mar 27 16:01:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Mar 27 16:01:38 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Mar 27 16:01:38 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Mar 27 16:01:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 16:01:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 16:01:39 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Mar 27 16:01:40 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Mar 27 16:01:40 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Mar 27 16:05:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Mar 27 16:05:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Mar 27 16:05:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Mar 27 16:05:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Mar 27 16:05:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Mar 27 16:05:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Mar 27 16:05:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Mar 27 16:05:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 16:05:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 16:05:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Mar 27 16:05:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Mar 27 16:05:59 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Mar 27 16:06:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Mar 27 16:06:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Mar 27 16:06:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Mar 27 16:06:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Mar 27 16:06:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Mar 27 16:06:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Mar 27 16:06:24 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Mar 27 16:06:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 16:06:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 16:06:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Mar 27 16:06:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x*2-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7343411594e+02 0.00e+00 7.10e-01 1.000000e+00 1.000000e+00 6 4.2122042468e+00 -2.94e-02 7.10e-07 2.684593e+01 6.666044e-01 After 6 iterations the fit converged. final sum of squares of residuals : 4.2122 rel. change during last iteration : -2.94223e-07 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.144404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0208525 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 26.8459 +/- 0.2764 (1.029%) b = 0.666604 +/- 0.01381 (2.072%) correlation matrix of the fit parameters: a b a 1.000 b -0.588 1.000 ******************************************************************************* Fri Mar 27 16:06:26 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Mar 27 16:07:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Mar 27 16:07:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Mar 27 16:07:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Mar 27 16:07:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Mar 27 16:07:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Mar 27 16:07:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Mar 27 16:07:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Mar 27 16:07:11 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 16:07:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 16:07:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Mar 27 16:07:12 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Mar 27 16:07:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Mar 27 17:05:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Mar 27 17:05:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Mar 27 17:05:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Mar 27 17:05:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Mar 27 17:05:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Mar 27 17:05:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Mar 27 17:05:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Mar 27 17:05:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 17:05:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 17:05:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Mar 27 17:05:15 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Mar 27 17:05:15 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Mar 27 17:10:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Mar 27 17:10:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Mar 27 17:10:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Mar 27 17:10:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Mar 27 17:10:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Mar 27 17:10:09 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Mar 27 17:10:09 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Mar 27 17:10:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 17:10:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Mar 27 17:10:10 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Mar 27 17:10:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Mar 27 17:10:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 20:56:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 20:56:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 20:56:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 20:56:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 20:56:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 20:56:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 20:56:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 20:56:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 20:56:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 20:56:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 20:56:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 20:56:24 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 20:58:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 20:58:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 20:58:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 20:58:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 20:58:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 20:58:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 20:58:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 20:58:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 20:58:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 20:58:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 20:58:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 20:58:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:00:15 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:00:15 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:00:15 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:00:15 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:00:15 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:00:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:00:16 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:00:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:00:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:00:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:00:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:00:19 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:01:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:01:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:01:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:01:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:01:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:01:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:01:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:01:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:01:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:01:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:01:46 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:01:46 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:02:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:02:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:02:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:02:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:02:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:02:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:02:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:02:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:02:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:02:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:02:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:02:23 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:10:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:10:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:10:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:10:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:10:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:10:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:10:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:10:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:10:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:10:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:10:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:10:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:11:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:11:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:11:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:11:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:11:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:11:52 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:11:52 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:11:52 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:11:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:11:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:11:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:11:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:12:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:12:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:12:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:12:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:12:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:12:20 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:12:20 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:12:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:12:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:12:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:12:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:12:23 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:17:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:17:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:17:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:17:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:17:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:17:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:17:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:17:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:17:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:17:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:17:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:17:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:18:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:18:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:18:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:18:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:18:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:18:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:18:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:18:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:18:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:18:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:18:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:18:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:18:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:18:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:18:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:18:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:18:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:18:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:18:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:18:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:18:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:18:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:18:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:18:59 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:24:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:24:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:24:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:24:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:24:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:24:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:24:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:24:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:24:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:24:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:24:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:24:56 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:29:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:29:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:29:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:29:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:29:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:29:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:29:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:29:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:29:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:29:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:29:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:29:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:30:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:30:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:30:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:30:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:30:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:30:39 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:30:39 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:30:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:30:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:30:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:30:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:30:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:31:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:31:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:31:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:31:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:31:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:31:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:31:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:31:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:31:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:31:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:31:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:31:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:31:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:31:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:31:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:31:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:31:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:31:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:31:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:31:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:31:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:31:28 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:31:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:31:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:31:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:31:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:31:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:31:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:31:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:31:50 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:31:50 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:31:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:31:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:31:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:31:52 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:31:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Mar 29 23:35:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Mar 29 23:35:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Mar 29 23:35:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Mar 29 23:35:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Mar 29 23:35:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Mar 29 23:35:20 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Mar 29 23:35:20 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Mar 29 23:35:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:35:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Mar 29 23:35:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Mar 29 23:35:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Mar 29 23:35:23 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 12:34:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 12:34:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 12:34:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 12:34:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 12:34:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 12:34:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 12:34:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 12:34:52 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:34:52 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:34:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 12:34:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 12:34:54 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 12:36:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 12:36:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 12:36:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 12:36:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 12:36:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 12:36:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 12:36:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 12:36:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:36:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:36:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 12:36:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 12:36:20 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 12:37:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 12:37:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 12:37:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 12:37:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 12:37:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 12:37:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 12:37:24 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 12:37:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:37:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:37:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 12:37:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 12:37:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 12:37:38 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 12:37:38 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 12:37:38 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 12:37:38 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 12:37:38 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 12:37:39 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 12:37:39 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 12:37:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:37:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:37:40 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 12:37:40 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 12:37:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 12:58:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 12:58:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 12:58:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 12:58:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 12:58:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 12:58:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 12:58:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 12:58:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:58:33 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:58:33 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 12:58:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 12:58:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 12:59:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 12:59:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 12:59:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 12:59:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 12:59:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 12:59:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 12:59:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 12:59:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:59:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:59:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 12:59:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 12:59:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 12:59:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 12:59:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 12:59:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 12:59:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 12:59:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 12:59:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 12:59:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 12:59:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:59:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 12:59:55 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 12:59:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 12:59:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 13:02:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 13:02:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 13:02:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 13:02:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 13:02:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 13:02:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 13:02:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 13:02:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:02:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:02:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 13:02:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 13:02:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 13:02:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 13:02:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 13:02:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 13:02:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 13:02:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 13:02:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 13:02:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 13:02:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:02:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:02:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 13:02:50 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 13:02:51 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 13:05:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 13:05:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 13:05:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 13:05:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 13:05:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 13:05:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 13:05:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 13:05:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:05:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:05:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 13:05:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 13:05:56 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 13:12:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 13:12:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 13:12:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 13:12:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 13:12:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 13:12:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 13:12:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 13:12:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:12:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:12:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 13:12:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 13:12:25 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 13:13:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 13:13:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 13:13:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 13:13:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 13:13:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 13:13:14 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 13:13:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 13:13:15 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:13:15 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:13:15 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 13:13:16 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 13:13:17 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 13:13:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 13:13:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 13:13:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 13:13:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 13:13:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 13:13:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 13:13:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 13:13:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:13:33 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:13:33 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 13:13:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 13:13:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 13:14:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 13:14:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 13:14:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 13:14:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 13:14:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 13:14:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 13:14:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 13:14:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:14:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:14:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 13:14:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 13:14:03 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 13:14:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 13:14:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 13:14:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 13:14:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 13:14:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 13:14:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 13:14:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 13:14:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:14:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 13:14:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 13:14:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 13:14:20 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 22:12:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 22:12:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 22:12:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 22:12:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 22:12:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 22:12:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 22:12:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 22:12:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:12:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:12:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 22:12:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 22:12:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 22:13:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 22:13:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 22:13:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 22:13:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 22:13:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 22:13:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 22:13:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 22:13:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:13:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:13:20 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 22:13:20 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 22:13:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 22:13:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 22:13:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 22:13:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 22:13:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 22:13:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 22:13:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 22:13:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 22:13:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:13:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:13:50 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 22:13:50 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 22:13:51 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 22:30:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 22:30:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 22:30:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 22:30:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 22:30:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 22:30:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 22:30:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 22:30:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:30:33 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:30:33 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 22:30:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 22:30:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 22:31:11 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 22:31:11 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 22:31:11 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 22:31:11 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 22:31:11 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 22:31:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 22:31:12 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 22:31:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:31:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:31:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 22:31:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 22:31:14 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 22:43:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 22:43:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 22:43:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 22:43:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 22:43:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 22:43:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 22:43:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 22:43:11 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:43:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:43:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 22:43:12 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 22:43:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 22:45:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 22:45:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 22:45:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 22:45:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 22:45:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 22:45:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 22:45:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 22:45:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:45:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:45:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 22:45:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 22:45:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 22:46:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 22:46:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 22:46:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 22:46:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 22:46:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 22:46:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 22:46:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 22:46:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:46:38 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:46:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 22:46:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 22:46:39 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 22:46:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 22:46:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 22:46:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 22:46:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 22:46:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 22:46:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 22:46:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 22:46:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:46:52 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 22:46:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 22:46:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 22:46:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 23:05:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 23:05:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 23:05:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 23:05:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 23:05:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 23:05:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 23:05:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 23:05:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 23:05:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 23:05:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 23:05:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 23:05:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 23:05:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 23:05:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 23:05:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 23:05:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 23:05:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 23:05:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 23:05:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 23:05:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 23:05:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 23:05:46 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 23:05:46 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 23:05:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 23:07:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 23:07:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 23:07:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 23:07:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 23:07:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 23:07:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 23:07:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 23:07:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 23:07:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 23:07:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 23:07:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 23:07:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon Mar 30 23:45:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Mar 30 23:45:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Mar 30 23:45:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Mar 30 23:45:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Mar 30 23:45:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Mar 30 23:45:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Mar 30 23:45:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Mar 30 23:45:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 23:45:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Mar 30 23:45:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Mar 30 23:45:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Mar 30 23:45:25 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 09:37:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 09:37:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 09:37:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 09:37:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 09:37:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 09:37:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 09:37:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 09:37:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 09:37:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 09:37:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 09:37:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 09:37:49 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 09:41:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 09:41:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 09:41:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 09:41:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 09:41:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 09:41:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 09:41:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 09:41:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 09:41:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 09:41:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 09:41:59 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 09:47:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 09:47:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 09:47:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 09:47:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 09:47:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 09:47:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 09:47:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 09:47:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 09:47:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 09:47:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 09:47:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 09:51:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 09:51:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 09:51:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 09:51:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 09:51:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 09:51:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 09:51:42 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 09:51:42 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 09:51:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 09:51:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 09:51:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 09:53:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 09:53:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 09:53:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 09:53:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 09:53:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 09:53:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 09:53:03 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 09:53:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 09:53:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 09:53:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 09:53:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 09:55:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 09:55:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 09:55:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 09:55:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 09:55:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 09:55:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 09:55:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 09:55:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 09:55:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 09:55:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 09:55:03 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 09:55:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 09:55:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 09:55:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 09:55:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 09:55:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 09:55:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 09:55:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 09:55:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 09:55:46 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 09:55:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 09:55:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 09:56:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 09:56:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 09:56:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 09:56:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 09:56:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 09:56:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 09:56:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 09:56:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 09:56:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 09:56:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 09:56:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 09:57:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 09:57:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 09:57:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 09:57:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 09:57:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 09:57:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 09:57:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 09:57:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 09:57:46 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 09:57:46 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 09:57:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:35:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:35:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:35:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:35:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:35:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:35:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:35:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:35:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:35:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:35:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:35:03 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:36:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:36:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:36:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:36:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:36:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:36:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:36:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:36:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:36:46 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:36:46 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:36:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:37:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:37:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:37:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:37:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:37:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:37:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:37:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:37:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:37:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:37:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:37:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:38:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:38:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:38:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:38:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:38:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:38:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:38:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:38:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:38:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:38:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:38:46 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:40:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:40:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:40:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:40:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:40:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:40:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:40:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:40:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:40:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:40:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:40:23 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:42:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:42:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:42:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:42:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:42:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:42:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:42:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:42:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:42:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:42:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:42:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:42:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:42:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:42:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:42:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:42:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:42:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:42:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:42:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:42:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:42:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:42:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:43:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:43:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:43:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:43:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:43:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:43:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:43:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:43:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:43:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:43:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:43:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:44:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:44:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:44:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:44:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:44:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:44:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:44:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:44:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:44:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:44:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:44:25 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:44:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:44:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:44:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:44:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:44:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:44:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:44:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:44:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:44:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:44:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:44:49 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:45:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:45:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:45:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:45:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:45:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:45:15 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:45:15 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:45:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:45:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:45:16 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:45:17 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:47:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:47:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:47:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:47:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:47:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:47:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:47:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:47:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:47:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:47:52 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:47:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:51:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:51:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:51:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:51:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:51:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:51:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:51:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:51:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:51:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:51:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:51:03 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:51:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:51:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:51:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:51:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:51:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:51:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:51:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:51:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:51:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:51:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:52:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 16:58:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 16:58:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 16:58:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 16:58:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 16:58:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 16:58:15 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 16:58:15 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 16:58:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 16:58:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 16:58:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 16:58:17 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:01:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:01:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:01:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:01:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:01:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:01:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:01:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:01:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:01:09 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:01:09 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:01:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:02:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:02:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:02:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:02:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:02:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:02:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:02:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:02:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:02:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:02:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:02:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:02:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:02:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:02:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:02:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:02:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:02:52 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:02:52 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:02:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:02:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:02:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:02:54 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:03:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:03:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:03:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:03:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:03:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:03:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:03:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:03:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:03:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:03:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:03:20 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:04:11 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:04:11 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:04:11 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:04:11 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:04:11 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:04:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:04:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:04:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:04:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:04:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:04:15 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:04:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:04:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:04:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:04:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:04:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:04:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:04:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:04:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:04:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:04:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:04:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:05:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:05:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:05:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:05:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:05:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:05:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:05:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:05:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:05:20 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:05:20 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:05:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:05:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:05:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:05:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:05:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:05:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:05:39 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:05:39 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:05:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:05:40 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:05:40 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:05:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:06:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:06:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:06:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:06:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:06:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:06:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:06:12 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:06:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:06:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:06:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:06:14 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:06:32 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:06:32 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:06:32 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:06:32 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:06:32 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:06:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:06:33 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:06:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:06:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:06:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:06:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:06:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:06:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:06:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:06:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:06:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:06:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:06:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:06:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:06:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:06:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:07:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:08:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:08:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:08:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:08:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:08:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:08:52 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:08:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:08:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:08:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:08:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:08:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:12:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:12:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:12:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:12:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:12:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:12:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:12:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:12:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:12:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:12:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:12:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:13:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:13:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:13:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:13:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:13:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:13:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:13:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:13:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:13:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:13:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:13:39 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:14:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:14:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:14:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:14:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:14:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:14:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:14:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:14:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:14:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:14:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:14:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:14:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:14:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:14:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:14:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:14:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:14:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:14:46 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:14:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:14:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:14:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:14:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:15:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:15:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:15:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:15:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:15:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:15:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:15:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:15:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:15:20 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:15:20 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:15:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:15:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:15:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:15:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:15:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:15:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:15:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:15:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:15:52 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:15:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:15:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:15:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:16:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:16:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:16:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:16:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:16:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:16:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:16:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:16:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:16:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:16:15 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:16:15 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:16:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:16:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:16:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:16:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:16:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:16:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:16:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:16:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:16:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:16:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:16:39 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:29:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:29:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:29:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:29:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:29:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:29:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:29:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:29:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:29:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:29:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:29:25 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:30:38 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:30:38 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:30:38 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:30:38 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:30:38 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:30:39 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:30:39 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:30:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:30:40 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:30:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:30:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:31:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:31:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:31:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:31:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:31:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:31:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:31:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:31:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:31:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:31:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:31:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:31:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:31:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:31:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:31:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:31:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:31:52 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:31:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:31:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:31:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:31:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:31:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:32:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:32:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:32:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:32:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:32:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:32:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:32:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:32:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:32:33 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:32:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:32:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:33:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:33:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:33:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:33:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:33:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:33:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:33:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:33:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:33:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:33:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:33:23 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:33:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:33:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:33:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:33:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:33:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:33:50 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:33:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:33:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:33:51 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:33:52 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:33:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 17:34:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 17:34:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 17:34:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 17:34:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 17:34:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 17:34:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 17:34:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 17:34:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 17:34:46 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 17:34:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 17:34:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:28:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:28:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:28:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:28:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:28:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:28:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:28:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:28:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:28:46 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:28:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:28:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:30:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:30:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:30:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:30:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:30:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:30:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:30:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:30:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:30:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:30:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:30:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:31:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:31:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:31:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:31:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:31:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:32:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:32:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:32:00 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:32:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:32:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:32:02 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:33:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:33:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:33:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:33:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:33:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:33:15 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:33:15 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:33:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:33:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:33:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:33:18 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:34:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:34:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:34:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:34:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:34:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:34:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:34:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:34:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:34:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:34:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:34:20 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:36:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:36:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:36:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:36:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:36:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:36:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:36:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:36:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:36:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:36:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:36:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:37:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:37:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:37:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:37:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:37:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:37:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:37:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:37:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:37:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:37:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:37:28 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:39:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:39:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:39:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:39:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:39:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:39:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:39:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:39:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:39:46 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:39:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:39:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:40:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:40:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:40:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:40:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:40:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:40:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:40:42 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:40:42 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:40:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:40:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:40:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:44:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:44:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:44:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:44:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:44:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:44:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:44:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:44:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:44:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:44:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:44:25 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.9257663580e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.79e-03 4.04e-04 -6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.79441e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b -0.434 1.000 ******************************************************************************* Fri Apr 3 18:44:25 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:45:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:45:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:45:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:45:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:45:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:45:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:45:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:45:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:45:42 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:45:42 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:45:43 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 18:45:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:46:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:46:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:46:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:46:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:46:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:46:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:46:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:46:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:46:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:46:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:46:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 18:46:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:47:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:47:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:47:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:47:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:47:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:47:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:47:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:47:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:47:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:47:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:47:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 18:47:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:47:32 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:47:32 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:47:32 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:47:32 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:47:32 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:47:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:47:33 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:47:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:47:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:47:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:47:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 18:47:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:48:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:48:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:48:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:48:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:48:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:48:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:48:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:48:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:48:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:48:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:48:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 18:48:50 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:49:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:49:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:49:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:49:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:49:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:49:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:49:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:49:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:49:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:49:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:49:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 18:49:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:50:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:50:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:50:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:50:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:50:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:50:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:50:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:50:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:50:09 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:50:09 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:50:10 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 18:50:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:52:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:52:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:52:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:52:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:52:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:52:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:52:46 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:52:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:52:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:52:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:52:48 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 18:52:49 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:53:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:53:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:53:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:53:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:53:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:53:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:53:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:53:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:53:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:53:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:53:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 18:53:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 18:58:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 18:58:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 18:58:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 18:58:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 18:58:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 18:58:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 18:58:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 18:58:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 18:58:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 18:58:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 18:58:59 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 18:58:59 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 19:06:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 19:06:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 19:06:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 19:06:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 19:06:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 19:06:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 19:06:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 19:06:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 19:06:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 19:06:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 19:06:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 19:06:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 19:51:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 19:51:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 19:51:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 19:51:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 19:51:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 19:51:03 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 19:51:03 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 19:51:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 19:51:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 19:51:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 19:51:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 19:51:05 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 19:51:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 19:51:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 19:51:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 19:51:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 19:51:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 19:51:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 19:51:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 19:51:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 19:51:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 19:51:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 19:51:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 19:51:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 21:59:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 21:59:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 21:59:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 21:59:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 21:59:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 21:59:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 21:59:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 21:59:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 21:59:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 21:59:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 21:59:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 21:59:34 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 21:59:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 22:01:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 22:01:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 22:01:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 22:01:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 22:01:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 22:01:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 22:01:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 22:01:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 22:01:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 22:01:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 22:01:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 22:01:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 1 u 1:2 format = x:z BREAK: No data to fit ******************************************************************************* Fri Apr 3 22:01:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 22:01:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 22:01:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 22:01:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 22:01:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 22:01:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 22:01:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 22:01:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 22:01:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 22:01:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 22:01:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 22:01:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 22:01:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 3 22:01:56 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 22:02:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 22:02:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 22:02:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 22:02:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 22:02:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 22:03:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 22:03:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 22:03:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 22:03:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 22:03:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 22:03:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 22:03:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 3 22:03:03 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 22:09:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 22:09:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 22:09:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 22:09:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 22:09:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 22:09:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 22:09:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 22:09:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 22:09:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 22:09:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 22:09:23 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 22:09:23 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 3 22:09:24 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 3 22:23:32 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 3 22:23:32 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 3 22:23:32 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 3 22:23:32 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 3 22:23:32 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 3 22:23:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 3 22:23:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 3 22:23:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 3 22:23:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 3 22:23:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 3 22:23:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 3 22:23:36 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 3 22:23:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:19:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:19:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:19:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:19:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:19:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:19:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:19:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:19:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:19:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:19:15 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:19:15 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:19:16 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:19:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:19:16 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:24:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:24:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:24:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:24:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:24:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:24:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:24:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:24:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:24:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:24:28 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:24:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:24:29 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:24:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:24:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 -1.87e-11 2.16e-01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.86739e-16 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:24:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 0.00e+00 2.16e+01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:24:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 0.00e+00 2.16e+01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:24:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 0.00e+00 2.16e+01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:24:29 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:25:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:25:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:25:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:25:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:25:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:25:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:25:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:25:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:25:09 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:25:09 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:25:10 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:25:10 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:25:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:25:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 -1.87e-11 2.16e-01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.86739e-16 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:25:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 0.00e+00 2.16e+01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:25:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 0.00e+00 2.16e+01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:25:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 0.00e+00 2.16e+01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:25:11 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:26:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:26:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:26:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:26:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:26:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:26:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:26:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:26:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:26:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:26:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:26:12 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:26:12 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:26:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:26:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 -1.87e-11 2.16e-01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.86739e-16 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:26:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 0.00e+00 2.16e+01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:26:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 0.00e+00 2.16e+01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:26:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 0.00e+00 2.16e+01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:26:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:27:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:27:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:27:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:27:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:27:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:27:03 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:27:04 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:27:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:27:05 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:27:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:27:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:27:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:27:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:27:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 -1.87e-11 2.16e-01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.86739e-16 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:27:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 0.00e+00 2.16e+01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:27:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 0.00e+00 2.16e+01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:27:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.9726543909e-01 0.00e+00 2.16e+00 1.533904e-02 2.921750e+00 1 2.9726543909e-01 0.00e+00 2.16e+01 1.533904e-02 2.921750e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:27:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:34:11 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:34:11 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:34:11 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:34:11 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:34:11 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:34:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:34:12 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:34:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:34:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:34:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:34:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:34:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:34:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:34:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.015339 +/- 0.0006715 (4.378%) d = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: c d c 1.000 d 0.477 1.000 ******************************************************************************* Sat Apr 4 20:34:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.015339 +/- 0.0006715 (4.378%) f = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: e f e 1.000 f 0.477 1.000 ******************************************************************************* Sat Apr 4 20:34:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.015339 +/- 0.0006715 (4.378%) h = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: g h g 1.000 h 0.477 1.000 ******************************************************************************* Sat Apr 4 20:34:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.015339 +/- 0.0006715 (4.378%) j = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: i j i 1.000 j 0.477 1.000 ******************************************************************************* Sat Apr 4 20:34:15 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:37:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:37:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:37:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:37:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:37:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:37:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:37:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:37:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:37:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:37:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:37:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:37:38 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:37:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:37:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.015339 +/- 0.0006715 (4.378%) d = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: c d c 1.000 d 0.477 1.000 ******************************************************************************* Sat Apr 4 20:37:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.015339 +/- 0.0006715 (4.378%) f = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: e f e 1.000 f 0.477 1.000 ******************************************************************************* Sat Apr 4 20:37:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.015339 +/- 0.0006715 (4.378%) h = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: g h g 1.000 h 0.477 1.000 ******************************************************************************* Sat Apr 4 20:37:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.015339 +/- 0.0006715 (4.378%) j = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: i j i 1.000 j 0.477 1.000 ******************************************************************************* Sat Apr 4 20:37:39 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:39:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:39:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:39:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:39:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:39:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:39:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:39:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:39:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:39:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:39:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:39:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:39:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:39:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:39:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:39:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:39:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3069729446e+04 0.00e+00 1.18e+01 1.000000e+00 1.000000e+00 4 4.9119549355e+01 -2.57e-01 1.18e-03 -5.238806e-02 7.723049e+00 After 4 iterations the fit converged. final sum of squares of residuals : 49.1195 rel. change during last iteration : -2.56988e-06 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.52939 variance of residuals (reduced chisquare) = WSSR/ndf : 2.33903 Final set of parameters Asymptotic Standard Error ======================= ========================== g = -0.0523881 +/- 0.04528 (86.43%) h = 7.72305 +/- 0.7543 (9.766%) correlation matrix of the fit parameters: g h g 1.000 h 0.906 1.000 ******************************************************************************* Sat Apr 4 20:39:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 29 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 3.3862497667e+05 0.00e+00 7.64e+01 1.000000e+00 1.000000e+00 5 2.5252096115e-01 -2.62e-05 7.64e-04 1.717636e-03 1.486360e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.252521 rel. change during last iteration : -2.62283e-10 degrees of freedom (FIT_NDF) : 27 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.096709 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00935263 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00171764 +/- 0.000174 (10.13%) j = 1.48636 +/- 0.01881 (1.265%) correlation matrix of the fit parameters: i j i 1.000 j 0.297 1.000 ******************************************************************************* Sat Apr 4 20:39:05 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:40:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:40:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:40:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:40:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:40:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:40:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:40:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:40:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:40:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:40:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:40:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:40:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:40:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:40:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:40:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:40:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 51 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 3.5165809151e+05 0.00e+00 5.82e+01 1.000000e+00 1.000000e+00 4 6.7327483646e+02 -9.01e-01 5.82e-03 6.612967e-03 4.789846e+00 After 4 iterations the fit converged. final sum of squares of residuals : 673.275 rel. change during last iteration : -9.00842e-06 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.70679 variance of residuals (reduced chisquare) = WSSR/ndf : 13.7403 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00661297 +/- 0.00662 (100.1%) h = 4.78985 +/- 0.5447 (11.37%) correlation matrix of the fit parameters: g h g 1.000 h 0.303 1.000 ******************************************************************************* Sat Apr 4 20:40:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z BREAK: No data to fit ******************************************************************************* Sat Apr 4 20:40:29 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:41:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:41:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:41:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:41:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:41:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:41:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:41:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:41:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:41:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:41:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:41:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:41:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:41:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:41:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:41:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:41:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 51 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 3.5165809151e+05 0.00e+00 5.82e+01 1.000000e+00 1.000000e+00 4 6.7327483646e+02 -9.01e-01 5.82e-03 6.612967e-03 4.789846e+00 After 4 iterations the fit converged. final sum of squares of residuals : 673.275 rel. change during last iteration : -9.00842e-06 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.70679 variance of residuals (reduced chisquare) = WSSR/ndf : 13.7403 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00661297 +/- 0.00662 (100.1%) h = 4.78985 +/- 0.5447 (11.37%) correlation matrix of the fit parameters: g h g 1.000 h 0.303 1.000 ******************************************************************************* Sat Apr 4 20:41:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z BREAK: No data to fit ******************************************************************************* Sat Apr 4 20:41:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:42:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:42:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:42:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:42:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:42:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:42:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:42:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:42:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:42:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:42:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:42:12 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:42:12 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:42:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:42:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:42:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:42:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 51 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 3.5165809151e+05 0.00e+00 5.82e+01 1.000000e+00 1.000000e+00 4 6.7327483646e+02 -9.01e-01 5.82e-03 6.612967e-03 4.789846e+00 After 4 iterations the fit converged. final sum of squares of residuals : 673.275 rel. change during last iteration : -9.00842e-06 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.70679 variance of residuals (reduced chisquare) = WSSR/ndf : 13.7403 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00661297 +/- 0.00662 (100.1%) h = 4.78985 +/- 0.5447 (11.37%) correlation matrix of the fit parameters: g h g 1.000 h 0.303 1.000 ******************************************************************************* Sat Apr 4 20:42:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z BREAK: No data to fit ******************************************************************************* Sat Apr 4 20:42:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:44:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:44:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:44:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:44:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:44:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:44:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:44:46 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:44:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:44:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:44:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:44:48 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:44:48 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:44:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:44:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:44:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:44:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 51 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 3.5165809151e+05 0.00e+00 5.82e+01 1.000000e+00 1.000000e+00 4 6.7327483646e+02 -9.01e-01 5.82e-03 6.612967e-03 4.789846e+00 After 4 iterations the fit converged. final sum of squares of residuals : 673.275 rel. change during last iteration : -9.00842e-06 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.70679 variance of residuals (reduced chisquare) = WSSR/ndf : 13.7403 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00661297 +/- 0.00662 (100.1%) h = 4.78985 +/- 0.5447 (11.37%) correlation matrix of the fit parameters: g h g 1.000 h 0.303 1.000 ******************************************************************************* Sat Apr 4 20:44:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z BREAK: No data to fit ******************************************************************************* Sat Apr 4 20:44:49 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:45:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:45:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:45:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:45:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:45:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:45:52 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:45:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:45:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:45:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:45:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:45:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:45:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:45:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:45:56 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:46:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:46:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:46:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:46:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:46:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:46:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:46:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:46:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:46:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:46:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:46:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:46:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:46:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:46:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:46:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:47:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:47:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:47:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:47:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:47:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:47:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:47:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:47:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:47:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:47:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:47:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:47:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:47:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:47:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:47:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:47:46 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:48:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:48:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:48:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:48:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:48:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:48:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:48:42 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:48:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:48:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:48:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:48:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:48:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:48:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:48:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:48:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:48:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 51 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 3.5165809151e+05 0.00e+00 5.82e+01 1.000000e+00 1.000000e+00 4 6.7327483646e+02 -9.01e-01 5.82e-03 6.612967e-03 4.789846e+00 After 4 iterations the fit converged. final sum of squares of residuals : 673.275 rel. change during last iteration : -9.00842e-06 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.70679 variance of residuals (reduced chisquare) = WSSR/ndf : 13.7403 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00661297 +/- 0.00662 (100.1%) h = 4.78985 +/- 0.5447 (11.37%) correlation matrix of the fit parameters: g h g 1.000 h 0.303 1.000 ******************************************************************************* Sat Apr 4 20:48:45 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:53:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:53:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:53:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:53:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:53:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:53:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:53:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:53:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:53:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:53:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:53:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:53:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:53:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:53:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:53:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:53:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 20:53:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 20:53:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00133379 +/- 8.224e-05 (6.166%) l = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: k l k 1.000 l 0.491 1.000 ******************************************************************************* Sat Apr 4 20:53:51 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:54:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:54:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:54:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:54:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:54:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:54:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:54:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:54:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:54:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:54:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:54:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:54:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:54:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:54:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:54:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:54:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 20:54:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 20:54:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 20:54:59 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:55:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:55:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:55:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:55:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:55:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:55:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:55:20 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:55:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:55:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:55:21 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:55:22 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:55:22 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:55:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:55:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:55:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:55:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 20:55:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 20:55:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 20:55:23 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:56:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:56:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:56:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:56:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:56:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:56:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:56:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:56:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:56:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:57:00 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:57:01 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:57:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:57:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:57:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:57:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:57:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 20:57:02 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:57:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:57:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:57:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:57:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:57:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:57:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:57:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:57:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:57:42 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:57:42 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:57:43 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:57:43 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:57:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:57:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:57:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:57:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 20:57:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 20:57:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 20:59:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 20:59:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 20:59:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 20:59:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 20:59:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 20:59:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 20:59:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 20:59:33 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 20:59:33 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 20:59:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 20:59:34 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 20:59:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 20:59:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 20:59:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 20:59:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 20:59:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 20:59:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 20:59:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 20:59:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 21:04:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 21:04:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 21:04:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 21:04:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 21:04:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 21:04:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 21:04:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 21:04:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 21:04:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 21:04:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 21:04:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 21:04:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 21:04:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 21:04:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 21:04:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 21:04:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 21:04:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 21:04:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 21:04:56 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 21:06:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 21:06:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 21:06:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 21:06:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 21:06:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 21:06:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 21:06:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 21:06:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 21:06:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 21:06:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 21:06:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 21:06:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 21:06:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 21:06:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 21:06:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 21:06:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 21:06:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 21:06:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 21:06:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 21:09:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 21:09:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 21:09:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 21:09:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 21:09:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 21:09:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 21:09:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 21:09:52 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 21:09:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 21:09:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 21:09:53 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 21:09:53 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 21:09:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 21:09:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 21:09:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 21:09:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 21:09:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 21:09:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 21:09:54 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 21:10:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 21:10:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 21:10:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 21:10:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 21:10:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 21:10:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 21:10:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 21:10:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 21:10:46 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 21:10:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 21:10:47 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 21:10:47 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 21:10:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 21:10:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 21:10:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 21:10:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 21:10:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 21:10:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 21:10:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 21:11:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 21:11:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 21:11:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 21:11:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 21:11:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 21:11:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 21:11:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 21:11:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 21:11:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 21:11:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 21:11:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 21:11:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 21:11:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 21:11:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 21:11:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 21:11:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 21:11:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 21:11:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 21:11:25 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 21:13:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 21:13:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 21:13:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 21:13:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 21:13:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 21:13:03 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 21:13:03 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 21:13:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 21:13:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 21:13:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 21:13:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 21:13:05 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 21:13:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 21:13:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 21:13:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 21:13:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 21:13:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 21:13:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 21:13:06 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 21:14:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 21:14:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 21:14:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 21:14:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 21:14:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 21:14:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 21:14:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 21:14:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 21:14:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 21:14:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 21:14:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 21:14:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 21:14:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 21:14:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 21:14:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 21:14:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 21:14:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 21:14:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 21:14:15 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 21:15:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 21:15:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 21:15:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 21:15:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 21:15:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 21:15:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 21:15:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 21:15:42 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 21:15:42 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 21:15:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 21:15:43 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 21:15:43 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 21:15:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 21:15:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 21:15:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 21:15:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 21:15:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 21:15:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 21:15:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 21:32:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 21:32:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 21:32:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 21:32:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 21:32:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 21:32:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 21:32:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 21:32:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 21:32:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 21:32:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 21:32:34 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 21:32:34 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 21:32:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 21:32:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 21:32:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 21:32:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 21:32:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 21:32:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 21:32:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 21:32:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 21:32:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 21:32:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 21:32:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 21:32:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 21:32:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 21:32:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 21:32:50 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 21:32:50 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 21:32:51 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 21:32:51 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 21:32:52 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 21:32:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 21:32:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 21:32:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 21:32:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 21:32:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 21:32:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 21:32:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 4 21:36:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 4 21:36:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 4 21:36:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 4 21:36:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 4 21:36:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 4 21:36:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 4 21:36:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 4 21:36:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 4 21:36:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 4 21:36:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 4 21:36:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 4 21:36:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 4 21:36:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 4 21:36:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 4 21:36:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 4 21:36:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 4 21:36:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 4 21:36:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 4 21:36:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Apr 5 20:25:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Apr 5 20:25:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Apr 5 20:25:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Apr 5 20:25:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Apr 5 20:25:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Apr 5 20:25:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Apr 5 20:25:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Apr 5 20:25:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Apr 5 20:25:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Apr 5 20:25:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Apr 5 20:25:25 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 20 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.8682823830e+03 0.00e+00 8.77e+00 1.000000e+00 1.000000e+00 5 4.6872867921e-01 -1.66e-09 8.77e-05 3.316078e-01 8.779344e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.468729 rel. change during last iteration : -1.65801e-14 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.161371 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0260405 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.331608 +/- 0.006416 (1.935%) d = 8.77934 +/- 0.07935 (0.9038%) correlation matrix of the fit parameters: c d c 1.000 d 0.891 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.9135069400e+02 0.00e+00 3.49e+00 1.000000e+00 1.000000e+00 5 4.0644900426e-01 -3.14e-10 3.49e-05 1.419900e+00 9.353896e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.406449 rel. change during last iteration : -3.14125e-15 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.16461 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0270966 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.4199 +/- 0.04275 (3.011%) f = 9.3539 +/- 0.2066 (2.208%) correlation matrix of the fit parameters: e f e 1.000 f 0.981 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2516416427e+04 0.00e+00 1.52e+01 1.000000e+00 1.000000e+00 4 7.1093666976e+01 -4.45e-01 1.52e-03 8.132893e-03 7.663414e+00 After 4 iterations the fit converged. final sum of squares of residuals : 71.0937 rel. change during last iteration : -4.45334e-06 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.17706 variance of residuals (reduced chisquare) = WSSR/ndf : 4.73958 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00813289 +/- 0.04194 (515.7%) h = 7.66341 +/- 0.9036 (11.79%) correlation matrix of the fit parameters: g h g 1.000 h 0.811 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 15 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7437736800e+03 0.00e+00 1.16e+01 1.000000e+00 1.000000e+00 4 6.1775466775e+01 -2.39e-01 1.16e-03 -1.632407e-01 6.475998e+00 After 4 iterations the fit converged. final sum of squares of residuals : 61.7755 rel. change during last iteration : -2.39169e-06 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.1799 variance of residuals (reduced chisquare) = WSSR/ndf : 4.75196 Final set of parameters Asymptotic Standard Error ======================= ========================== i = -0.163241 +/- 0.0754 (46.19%) j = 6.476 +/- 1.235 (19.07%) correlation matrix of the fit parameters: i j i 1.000 j 0.890 1.000 ******************************************************************************* Sun Apr 5 20:25:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2573335660e+03 0.00e+00 1.06e+01 1.000000e+00 1.000000e+00 4 6.0913227968e+01 -1.44e-01 1.06e-03 -1.874743e-01 6.338227e+00 After 4 iterations the fit converged. final sum of squares of residuals : 60.9132 rel. change during last iteration : -1.43902e-06 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.25302 variance of residuals (reduced chisquare) = WSSR/ndf : 5.0761 Final set of parameters Asymptotic Standard Error ======================= ========================== k = -0.187474 +/- 0.08773 (46.8%) l = 6.33823 +/- 1.315 (20.74%) correlation matrix of the fit parameters: k l k 1.000 l 0.889 1.000 ******************************************************************************* Sun Apr 5 20:25:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Apr 5 20:28:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Apr 5 20:28:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Apr 5 20:28:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Apr 5 20:28:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Apr 5 20:28:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Apr 5 20:28:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Apr 5 20:28:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Apr 5 20:28:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Apr 5 20:28:42 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Apr 5 20:28:42 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Apr 5 20:28:43 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Apr 5 20:28:43 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Apr 5 20:28:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Apr 5 20:28:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Apr 5 20:28:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Apr 5 20:28:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Apr 5 20:28:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Apr 5 20:28:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Apr 5 20:28:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Apr 5 20:28:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Apr 5 20:28:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Apr 5 20:28:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Apr 5 20:28:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Apr 5 20:28:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Apr 5 20:28:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Apr 5 20:36:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Apr 5 20:36:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Apr 5 20:36:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Apr 5 20:36:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Apr 5 20:36:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Apr 5 20:36:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Apr 5 20:36:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Apr 5 20:36:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Apr 5 20:36:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Apr 5 20:37:00 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Apr 5 20:37:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Apr 5 20:37:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Apr 5 20:37:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Apr 5 20:37:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Apr 5 20:37:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Apr 5 20:37:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Apr 5 20:37:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Apr 5 20:37:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Apr 5 20:37:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Apr 5 20:37:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Apr 5 20:37:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Apr 5 20:37:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Apr 5 20:37:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Apr 5 20:37:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Apr 5 20:37:02 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Apr 5 20:37:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Apr 5 20:37:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Apr 5 20:37:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Apr 5 20:37:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Apr 5 20:37:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Apr 5 20:37:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Apr 5 20:37:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Apr 5 20:37:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Apr 5 20:37:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Apr 5 20:37:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Apr 5 20:37:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Apr 5 20:37:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Apr 5 20:37:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Apr 5 20:37:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Apr 5 20:37:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Apr 5 20:37:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Apr 5 20:37:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Apr 5 20:37:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Apr 5 20:37:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Apr 5 20:37:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Apr 5 20:37:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Apr 5 20:37:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Apr 5 20:37:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Apr 5 20:37:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Apr 5 20:37:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun Apr 5 20:51:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Apr 5 20:51:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Apr 5 20:51:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Apr 5 20:51:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Apr 5 20:51:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Apr 5 20:51:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Apr 5 20:51:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Apr 5 20:51:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Apr 5 20:52:00 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Apr 5 20:52:00 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Apr 5 20:52:01 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Apr 5 20:52:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Apr 5 20:52:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Apr 5 20:52:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Apr 5 20:52:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Apr 5 20:52:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Apr 5 20:52:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Apr 5 20:52:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Apr 5 20:52:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Apr 5 20:52:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Apr 5 20:52:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Apr 5 20:52:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Apr 5 20:52:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Apr 5 20:52:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Apr 5 20:52:02 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Apr 9 20:34:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Apr 9 20:34:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Apr 9 20:34:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Apr 9 20:34:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Apr 9 20:34:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Apr 9 20:34:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Apr 9 20:34:24 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Apr 9 20:34:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Apr 9 20:34:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Apr 9 20:34:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu Apr 9 20:34:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184-b)*exp(-(x-5.296)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4185512533e+03 0.00e+00 1.84e+00 1.000000e+00 1.000000e+00 20 7.8798725566e-01 -6.24e-01 1.84e-05 6.163088e-02 2.954194e-02 After 20 iterations the fit converged. final sum of squares of residuals : 0.787987 rel. change during last iteration : -6.24313e-06 degrees of freedom (FIT_NDF) : 204 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0621505 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00386268 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0616309 +/- 0.0003356 (0.5445%) b = 0.0295419 +/- 0.00463 (15.67%) correlation matrix of the fit parameters: a b a 1.000 b -0.278 1.000 ******************************************************************************* Thu Apr 9 20:34:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu Apr 9 20:34:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu Apr 9 20:34:28 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Apr 9 20:37:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Apr 9 20:37:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Apr 9 20:37:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Apr 9 20:37:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Apr 9 20:37:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Apr 9 20:37:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Apr 9 20:37:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Apr 9 20:37:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Apr 9 20:37:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Apr 9 20:37:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu Apr 9 20:37:09 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184-b)*exp(-(x-5.296)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4185512533e+03 0.00e+00 1.84e+00 1.000000e+00 1.000000e+00 20 7.8798725566e-01 -6.24e-01 1.84e-05 6.163088e-02 2.954194e-02 After 20 iterations the fit converged. final sum of squares of residuals : 0.787987 rel. change during last iteration : -6.24313e-06 degrees of freedom (FIT_NDF) : 204 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0621505 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00386268 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0616309 +/- 0.0003356 (0.5445%) b = 0.0295419 +/- 0.00463 (15.67%) correlation matrix of the fit parameters: a b a 1.000 b -0.278 1.000 ******************************************************************************* Thu Apr 9 20:37:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu Apr 9 20:37:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu Apr 9 20:37:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu Apr 9 20:37:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu Apr 9 20:37:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu Apr 9 20:37:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu Apr 9 20:37:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu Apr 9 20:37:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu Apr 9 20:37:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu Apr 9 20:37:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu Apr 9 20:37:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu Apr 9 20:37:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu Apr 9 20:37:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu Apr 9 20:37:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu Apr 9 20:37:11 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Apr 9 20:41:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Apr 9 20:41:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Apr 9 20:41:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Apr 9 20:41:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Apr 9 20:41:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Apr 9 20:41:59 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Apr 9 20:42:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Apr 9 20:42:00 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Apr 9 20:42:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Apr 9 20:42:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu Apr 9 20:42:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184-b)*exp(-(x-5.296)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4185512533e+03 0.00e+00 1.84e+00 1.000000e+00 1.000000e+00 20 7.8798725566e-01 -6.24e-01 1.84e-05 6.163088e-02 2.954194e-02 After 20 iterations the fit converged. final sum of squares of residuals : 0.787987 rel. change during last iteration : -6.24313e-06 degrees of freedom (FIT_NDF) : 204 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0621505 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00386268 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0616309 +/- 0.0003356 (0.5445%) b = 0.0295419 +/- 0.00463 (15.67%) correlation matrix of the fit parameters: a b a 1.000 b -0.278 1.000 ******************************************************************************* Thu Apr 9 20:42:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu Apr 9 20:42:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu Apr 9 20:42:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Apr 9 20:44:38 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Apr 9 20:44:38 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Apr 9 20:44:38 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Apr 9 20:44:38 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Apr 9 20:44:38 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Apr 9 20:44:39 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Apr 9 20:44:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Apr 9 20:44:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Apr 9 20:44:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Apr 9 20:44:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu Apr 9 20:44:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184-b)*exp(-(x-5.296)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4185512533e+03 0.00e+00 1.84e+00 1.000000e+00 1.000000e+00 20 7.8798725566e-01 -6.24e-01 1.84e-05 6.163088e-02 2.954194e-02 After 20 iterations the fit converged. final sum of squares of residuals : 0.787987 rel. change during last iteration : -6.24313e-06 degrees of freedom (FIT_NDF) : 204 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0621505 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00386268 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0616309 +/- 0.0003356 (0.5445%) b = 0.0295419 +/- 0.00463 (15.67%) correlation matrix of the fit parameters: a b a 1.000 b -0.278 1.000 ******************************************************************************* Thu Apr 9 20:44:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu Apr 9 20:44:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu Apr 9 20:44:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu Apr 9 20:44:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu Apr 9 20:44:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu Apr 9 20:44:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu Apr 9 20:44:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu Apr 9 20:44:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu Apr 9 20:44:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu Apr 9 20:44:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu Apr 9 20:44:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu Apr 9 20:44:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu Apr 9 20:44:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu Apr 9 20:44:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu Apr 9 20:44:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Apr 9 20:45:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Apr 9 20:45:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Apr 9 20:45:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Apr 9 20:45:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Apr 9 20:45:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Apr 9 20:45:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Apr 9 20:45:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Apr 9 20:45:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Apr 9 20:45:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Apr 9 20:45:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu Apr 9 20:45:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu Apr 9 20:45:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu Apr 9 20:45:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu Apr 9 20:45:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu Apr 9 20:45:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu Apr 9 20:45:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu Apr 9 20:45:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu Apr 9 20:45:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu Apr 9 20:45:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu Apr 9 20:45:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu Apr 9 20:45:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu Apr 9 20:45:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu Apr 9 20:45:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu Apr 9 20:45:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu Apr 9 20:45:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu Apr 9 20:45:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Apr 9 20:49:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Apr 9 20:49:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Apr 9 20:49:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Apr 9 20:49:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Apr 9 20:49:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Apr 9 20:49:14 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Apr 9 20:49:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Apr 9 20:49:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Apr 9 20:49:15 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Apr 9 20:49:15 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu Apr 9 20:49:16 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu Apr 9 20:49:16 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu Apr 9 20:49:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu Apr 9 20:49:18 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Apr 9 20:50:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Apr 9 20:50:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Apr 9 20:50:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Apr 9 20:50:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Apr 9 20:50:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Apr 9 20:50:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Apr 9 20:50:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Apr 9 20:50:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Apr 9 20:50:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Apr 9 20:50:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu Apr 9 20:50:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu Apr 9 20:50:27 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu Apr 9 20:50:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu Apr 9 20:50:29 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Apr 9 22:40:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Apr 9 22:40:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Apr 9 22:40:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Apr 9 22:40:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Apr 9 22:40:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Apr 9 22:40:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Apr 9 22:40:04 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Apr 9 22:40:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Apr 9 22:40:05 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Apr 9 22:40:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu Apr 9 22:40:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu Apr 9 22:40:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu Apr 9 22:40:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu Apr 9 22:40:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Apr 9 22:41:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Apr 9 22:41:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Apr 9 22:41:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Apr 9 22:41:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Apr 9 22:41:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Apr 9 22:41:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Apr 9 22:41:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Apr 9 22:41:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Apr 9 22:41:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Apr 9 22:41:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu Apr 9 22:41:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Thu Apr 9 22:41:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu Apr 9 22:41:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu Apr 9 22:41:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu Apr 9 22:41:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu Apr 9 22:41:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu Apr 9 22:41:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu Apr 9 22:41:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu Apr 9 22:41:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu Apr 9 22:41:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu Apr 9 22:41:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu Apr 9 22:41:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu Apr 9 22:41:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu Apr 9 22:41:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu Apr 9 22:41:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu Apr 9 22:41:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu Apr 9 22:41:06 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Apr 9 23:08:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Apr 9 23:08:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Apr 9 23:08:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Apr 9 23:08:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Apr 9 23:08:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Apr 9 23:08:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Apr 9 23:08:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Apr 9 23:08:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Apr 9 23:08:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Apr 9 23:08:20 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu Apr 9 23:08:20 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Thu Apr 9 23:08:21 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu Apr 9 23:08:21 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040)*exp(-(x-7.309)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 5.2033358661e+02 0.00e+00 4.38e-01 1.000000e+00 27 2.0975692614e+00 -3.56e-01 4.38e-04 2.039821e-02 After 27 iterations the fit converged. final sum of squares of residuals : 2.09757 rel. change during last iteration : -3.56291e-06 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.436679 variance of residuals (reduced chisquare) = WSSR/ndf : 0.190688 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0203982 +/- 0.001237 (6.067%) ******************************************************************************* Thu Apr 9 23:08:22 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu Apr 9 23:08:22 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu Apr 9 23:08:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu Apr 9 23:08:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu Apr 9 23:08:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu Apr 9 23:08:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu Apr 9 23:08:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu Apr 9 23:08:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu Apr 9 23:08:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu Apr 9 23:08:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu Apr 9 23:08:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu Apr 9 23:08:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu Apr 9 23:08:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu Apr 9 23:08:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu Apr 9 23:08:23 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Apr 9 23:10:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Apr 9 23:10:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Apr 9 23:10:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Apr 9 23:10:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Apr 9 23:10:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Apr 9 23:10:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Apr 9 23:10:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Apr 9 23:10:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Apr 9 23:10:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Apr 9 23:10:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu Apr 9 23:10:24 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Thu Apr 9 23:10:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu Apr 9 23:10:25 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Thu Apr 9 23:10:25 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu Apr 9 23:10:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu Apr 9 23:10:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu Apr 9 23:11:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu Apr 9 23:11:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu Apr 9 23:11:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu Apr 9 23:11:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu Apr 9 23:11:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu Apr 9 23:11:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu Apr 9 23:11:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu Apr 9 23:11:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu Apr 9 23:11:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu Apr 9 23:11:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu Apr 9 23:11:33 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Thu Apr 9 23:11:33 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu Apr 9 23:11:34 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Thu Apr 9 23:11:34 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu Apr 9 23:11:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu Apr 9 23:11:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 10 18:17:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 10 18:17:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 10 18:17:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 10 18:17:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 10 18:17:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 10 18:17:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 10 18:17:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 10 18:17:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 10 18:17:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 10 18:17:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 10 18:17:58 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Fri Apr 10 18:17:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Fri Apr 10 18:17:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.5137254854e+02 0.00e+00 1.18e+00 1.000000e+00 4 2.4745716507e+02 -2.82e-02 1.18e-04 1.102714e+00 After 4 iterations the fit converged. final sum of squares of residuals : 247.457 rel. change during last iteration : -2.82231e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.09868 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.10271 +/- 0.05926 (5.374%) ******************************************************************************* Fri Apr 10 18:17:59 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Fri Apr 10 18:18:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 10 18:18:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 10 18:18:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Fri Apr 10 18:18:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Fri Apr 10 18:18:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Fri Apr 10 18:18:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Fri Apr 10 18:18:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Fri Apr 10 18:18:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Fri Apr 10 18:18:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Fri Apr 10 18:18:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Fri Apr 10 18:18:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Fri Apr 10 18:18:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Fri Apr 10 18:18:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Fri Apr 10 18:18:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Fri Apr 10 18:18:02 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 10 18:19:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 10 18:19:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 10 18:19:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 10 18:19:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 10 18:19:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 10 18:19:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 10 18:19:38 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 10 18:19:38 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 10 18:19:39 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 10 18:19:39 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 10 18:19:40 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Fri Apr 10 18:19:40 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Fri Apr 10 18:19:40 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Fri Apr 10 18:19:41 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Fri Apr 10 18:19:41 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Fri Apr 10 18:19:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Fri Apr 10 18:19:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 10 18:21:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 10 18:21:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 10 18:21:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 10 18:21:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 10 18:21:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 10 18:21:09 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 10 18:21:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 10 18:21:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 10 18:21:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 10 18:21:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 10 18:21:12 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Fri Apr 10 18:21:12 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Fri Apr 10 18:21:12 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Fri Apr 10 18:21:13 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Fri Apr 10 18:21:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Fri Apr 10 18:21:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Fri Apr 10 18:21:15 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 10 18:36:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 10 18:36:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 10 18:36:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 10 18:36:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 10 18:36:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 10 18:36:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 10 18:36:24 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 10 18:36:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 10 18:36:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 10 18:36:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 10 18:36:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Fri Apr 10 18:36:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Fri Apr 10 18:36:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Fri Apr 10 18:36:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Fri Apr 10 18:36:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Fri Apr 10 18:36:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Fri Apr 10 18:36:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Fri Apr 10 18:36:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 10 18:48:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 10 18:48:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 10 18:48:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 10 18:48:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 10 18:48:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 10 18:48:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 10 18:48:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 10 18:48:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 10 18:48:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 10 18:48:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 10 18:48:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Fri Apr 10 18:48:28 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Fri Apr 10 18:48:28 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Fri Apr 10 18:48:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Fri Apr 10 18:48:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-5.44)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 6.5150887497e+02 0.00e+00 4.56e-01 1.000000e+00 6 1.8228498869e+01 -8.75e-05 4.56e-02 9.646215e+00 After 6 iterations the fit converged. final sum of squares of residuals : 18.2285 rel. change during last iteration : -8.74713e-10 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.298194 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0889195 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.64621 +/- 0.1415 (1.466%) ******************************************************************************* Fri Apr 10 18:48:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Fri Apr 10 18:48:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 10 18:48:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 10 18:48:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Fri Apr 10 18:48:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Fri Apr 10 18:48:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Fri Apr 10 18:48:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Fri Apr 10 18:48:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Fri Apr 10 18:48:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Fri Apr 10 18:48:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Fri Apr 10 18:48:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Fri Apr 10 18:48:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Fri Apr 10 18:48:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Fri Apr 10 18:48:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Fri Apr 10 18:48:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Fri Apr 10 18:48:32 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 10 18:49:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 10 18:49:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 10 18:49:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 10 18:49:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 10 18:49:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 10 18:49:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 10 18:49:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 10 18:49:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 10 18:49:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 10 18:49:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 10 18:49:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Fri Apr 10 18:49:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Fri Apr 10 18:49:04 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Fri Apr 10 18:49:04 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Fri Apr 10 18:49:04 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-5.44)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 6.5150887497e+02 0.00e+00 4.56e-01 1.000000e+00 6 1.8228498869e+01 -8.75e-05 4.56e-02 9.646215e+00 After 6 iterations the fit converged. final sum of squares of residuals : 18.2285 rel. change during last iteration : -8.74713e-10 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.298194 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0889195 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.64621 +/- 0.1415 (1.466%) ******************************************************************************* Fri Apr 10 18:49:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Fri Apr 10 18:49:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Fri Apr 10 18:49:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Fri Apr 10 18:49:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 10 18:51:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 10 18:51:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 10 18:51:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 10 18:51:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 10 18:51:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 10 18:51:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 10 18:51:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 10 18:51:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 10 18:51:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 10 18:51:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 10 18:51:12 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Fri Apr 10 18:51:12 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Fri Apr 10 18:51:13 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Fri Apr 10 18:51:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Fri Apr 10 18:51:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-5.44)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 6.5150887497e+02 0.00e+00 4.56e-01 1.000000e+00 6 1.8228498869e+01 -8.75e-05 4.56e-02 9.646215e+00 After 6 iterations the fit converged. final sum of squares of residuals : 18.2285 rel. change during last iteration : -8.74713e-10 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.298194 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0889195 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.64621 +/- 0.1415 (1.466%) ******************************************************************************* Fri Apr 10 18:51:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Fri Apr 10 18:51:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Fri Apr 10 18:51:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Fri Apr 10 18:51:16 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 10 18:51:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 10 18:51:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 10 18:51:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 10 18:51:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 10 18:51:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 10 18:51:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 10 18:51:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 10 18:51:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 10 18:51:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 10 18:51:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 10 18:51:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Fri Apr 10 18:51:46 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Fri Apr 10 18:51:46 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Fri Apr 10 18:51:47 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Fri Apr 10 18:51:47 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-5.44)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 6.5150887497e+02 0.00e+00 4.56e-01 1.000000e+00 6 1.8228498869e+01 -8.75e-05 4.56e-02 9.646215e+00 After 6 iterations the fit converged. final sum of squares of residuals : 18.2285 rel. change during last iteration : -8.74713e-10 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.298194 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0889195 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.64621 +/- 0.1415 (1.466%) ******************************************************************************* Fri Apr 10 18:51:48 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Fri Apr 10 18:51:48 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 10 18:51:48 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 10 18:51:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Fri Apr 10 18:51:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Fri Apr 10 18:51:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Fri Apr 10 18:51:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Fri Apr 10 18:51:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Fri Apr 10 18:51:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Fri Apr 10 18:51:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Fri Apr 10 18:51:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Fri Apr 10 18:51:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Fri Apr 10 18:51:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Fri Apr 10 18:51:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Fri Apr 10 18:51:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Fri Apr 10 18:51:50 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 10 18:52:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 10 18:52:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 10 18:52:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 10 18:52:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 10 18:52:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 10 18:52:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 10 18:52:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 10 18:52:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 10 18:52:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 10 18:52:15 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 10 18:52:15 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Fri Apr 10 18:52:16 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Fri Apr 10 18:52:16 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Fri Apr 10 18:52:17 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Fri Apr 10 18:52:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-5.44)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 6.5150887497e+02 0.00e+00 4.56e-01 1.000000e+00 6 1.8228498869e+01 -8.75e-05 4.56e-02 9.646215e+00 After 6 iterations the fit converged. final sum of squares of residuals : 18.2285 rel. change during last iteration : -8.74713e-10 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.298194 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0889195 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.64621 +/- 0.1415 (1.466%) ******************************************************************************* Fri Apr 10 18:52:17 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Fri Apr 10 18:52:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 10 18:52:18 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 10 18:52:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Fri Apr 10 18:52:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Fri Apr 10 18:52:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Fri Apr 10 18:52:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Fri Apr 10 18:52:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Fri Apr 10 18:52:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Fri Apr 10 18:52:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Fri Apr 10 18:52:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Fri Apr 10 18:52:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Fri Apr 10 18:52:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Fri Apr 10 18:52:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Fri Apr 10 18:52:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Fri Apr 10 18:52:20 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Fri Apr 10 18:52:38 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Apr 10 18:52:38 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Apr 10 18:52:38 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Apr 10 18:52:38 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Apr 10 18:52:38 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Apr 10 18:52:39 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Apr 10 18:52:39 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Apr 10 18:52:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Apr 10 18:52:40 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Apr 10 18:52:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Apr 10 18:52:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Fri Apr 10 18:52:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Fri Apr 10 18:52:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Fri Apr 10 18:52:42 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Fri Apr 10 18:52:43 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-5.44)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 6.5150887497e+02 0.00e+00 4.56e-01 1.000000e+00 6 1.8228498869e+01 -8.75e-05 4.56e-02 9.646215e+00 After 6 iterations the fit converged. final sum of squares of residuals : 18.2285 rel. change during last iteration : -8.74713e-10 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.298194 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0889195 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.64621 +/- 0.1415 (1.466%) ******************************************************************************* Fri Apr 10 18:52:43 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Fri Apr 10 18:52:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Apr 10 18:52:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Apr 10 18:52:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Fri Apr 10 18:52:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Fri Apr 10 18:52:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Fri Apr 10 18:52:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Fri Apr 10 18:52:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Fri Apr 10 18:52:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Fri Apr 10 18:52:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Fri Apr 10 18:52:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Fri Apr 10 18:52:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Fri Apr 10 18:52:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Fri Apr 10 18:52:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Fri Apr 10 18:52:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Fri Apr 10 18:52:45 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 11 00:06:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 11 00:06:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 11 00:06:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 11 00:06:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 11 00:06:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 11 00:06:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 11 00:06:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 11 00:06:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 11 00:06:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 11 00:06:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 11 00:06:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Apr 11 00:06:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Apr 11 00:07:00 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Apr 11 00:07:00 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Apr 11 00:07:01 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-5.44)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.6487624589e+02 0.00e+00 7.58e-01 1.000000e+00 1.000000e+00 5 4.7697238794e+00 -4.10e-01 7.58e-06 8.723856e+00 3.093614e-01 After 5 iterations the fit converged. final sum of squares of residuals : 4.76972 rel. change during last iteration : -4.09578e-06 degrees of freedom (FIT_NDF) : 204 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.152908 variance of residuals (reduced chisquare) = WSSR/ndf : 0.023381 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.72386 +/- 0.08028 (0.9202%) b = 0.309361 +/- 0.01282 (4.144%) correlation matrix of the fit parameters: a b a 1.000 b -0.459 1.000 ******************************************************************************* Sat Apr 11 00:07:01 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Apr 11 00:07:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 11 00:07:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 11 00:07:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 11 00:07:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 11 00:07:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 11 00:07:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 11 00:07:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 11 00:07:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 11 00:07:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Apr 11 00:07:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Apr 11 00:07:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Apr 11 00:07:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Apr 11 00:07:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Apr 11 00:07:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Apr 11 00:07:03 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 11 11:36:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 11 11:36:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 11 11:36:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 11 11:36:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 11 11:36:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 11 11:36:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 11 11:36:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 11 11:36:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 11 11:36:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 11 11:36:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 11 11:36:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Apr 11 11:36:04 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Apr 11 11:36:04 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Apr 11 11:36:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Apr 11 11:36:05 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-5.44)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.8105325122e+03 0.00e+00 4.06e+00 1.000000e+00 1.000000e+00 6 3.1765734324e+01 -4.98e-03 4.06e-06 6.260324e+00 3.650571e-01 After 6 iterations the fit converged. final sum of squares of residuals : 31.7657 rel. change during last iteration : -4.98161e-08 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.417776 variance of residuals (reduced chisquare) = WSSR/ndf : 0.174537 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.26032 +/- 0.1768 (2.824%) b = 0.365057 +/- 0.03586 (9.824%) correlation matrix of the fit parameters: a b a 1.000 b -0.405 1.000 ******************************************************************************* Sat Apr 11 11:36:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Apr 11 11:36:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 11 11:36:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 11 11:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 11 11:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 11 11:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 11 11:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 11 11:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 11 11:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 11 11:36:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Apr 11 11:36:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Apr 11 11:36:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Apr 11 11:36:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Apr 11 11:36:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Apr 11 11:36:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Apr 11 11:36:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 11 11:37:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 11 11:37:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 11 11:37:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 11 11:37:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 11 11:37:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 11 11:37:50 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 11 11:37:50 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 11 11:37:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 11 11:37:51 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 11 11:37:52 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 11 11:37:52 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Apr 11 11:37:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Apr 11 11:37:53 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Apr 11 11:37:53 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Apr 11 11:37:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-5.44)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.8105325122e+03 0.00e+00 4.06e+00 1.000000e+00 1.000000e+00 6 3.1765734324e+01 -4.98e-03 4.06e-06 6.260324e+00 3.650571e-01 After 6 iterations the fit converged. final sum of squares of residuals : 31.7657 rel. change during last iteration : -4.98161e-08 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.417776 variance of residuals (reduced chisquare) = WSSR/ndf : 0.174537 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.26032 +/- 0.1768 (2.824%) b = 0.365057 +/- 0.03586 (9.824%) correlation matrix of the fit parameters: a b a 1.000 b -0.405 1.000 ******************************************************************************* Sat Apr 11 11:37:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Apr 11 11:37:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 11 11:37:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 11 11:37:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 11 11:37:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 11 11:37:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 11 11:37:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 11 11:37:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 11 11:37:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 11 11:37:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Apr 11 11:37:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Apr 11 11:37:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Apr 11 11:37:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Apr 11 11:37:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Apr 11 11:37:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Apr 11 11:37:56 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 11 11:40:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 11 11:40:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 11 11:40:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 11 11:40:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 11 11:40:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 11 11:40:15 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 11 11:40:15 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 11 11:40:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 11 11:40:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 11 11:40:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 11 11:40:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Apr 11 11:40:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Apr 11 11:40:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Apr 11 11:40:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Apr 11 11:40:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-5.44)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.8105325122e+03 0.00e+00 4.06e+00 1.000000e+00 1.000000e+00 6 3.1765734324e+01 -4.98e-03 4.06e-06 6.260324e+00 3.650571e-01 After 6 iterations the fit converged. final sum of squares of residuals : 31.7657 rel. change during last iteration : -4.98161e-08 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.417776 variance of residuals (reduced chisquare) = WSSR/ndf : 0.174537 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.26032 +/- 0.1768 (2.824%) b = 0.365057 +/- 0.03586 (9.824%) correlation matrix of the fit parameters: a b a 1.000 b -0.405 1.000 ******************************************************************************* Sat Apr 11 11:40:19 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Apr 11 11:40:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 11 11:40:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 11 11:40:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 11 11:40:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 11 11:40:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 11 11:40:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 11 11:40:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 11 11:40:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 11 11:40:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Apr 11 11:40:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Apr 11 11:40:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Apr 11 11:40:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Apr 11 11:40:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Apr 11 11:40:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Apr 11 11:40:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 11 11:42:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 11 11:42:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 11 11:42:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 11 11:42:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 11 11:42:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 11 11:42:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 11 11:42:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 11 11:42:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 11 11:42:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 11 11:42:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 11 11:42:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Apr 11 11:42:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Apr 11 11:42:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Apr 11 11:42:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Apr 11 11:42:25 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Apr 11 11:42:25 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Apr 11 11:42:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 11 11:42:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 11 11:42:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 11 11:42:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 11 11:42:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 11 11:42:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 11 11:42:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 11 11:42:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 11 11:42:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Apr 11 11:42:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Apr 11 11:42:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Apr 11 11:42:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Apr 11 11:42:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Apr 11 11:42:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Apr 11 11:42:28 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 11 11:57:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 11 11:57:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 11 11:57:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 11 11:57:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 11 11:57:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 11 11:57:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 11 11:57:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 11 11:57:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 11 11:57:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 11 11:57:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 11 11:57:38 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Apr 11 11:57:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Apr 11 11:57:39 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Apr 11 11:57:39 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Apr 11 11:57:40 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Apr 11 11:57:40 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Apr 11 11:57:41 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Apr 11 11:57:41 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 11 11:57:41 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 11 11:57:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 11 11:57:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 11 11:57:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 11 11:57:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 11 11:57:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 11 11:57:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 11 11:57:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Apr 11 11:57:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Apr 11 11:57:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Apr 11 11:57:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Apr 11 11:57:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Apr 11 11:57:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Apr 11 11:57:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 11 12:02:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 11 12:02:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 11 12:02:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 11 12:02:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 11 12:02:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 11 12:02:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 11 12:02:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 11 12:02:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 11 12:02:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 11 12:02:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 11 12:02:37 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Apr 11 12:02:37 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Apr 11 12:02:37 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Apr 11 12:02:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Apr 11 12:02:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Apr 11 12:02:39 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Apr 11 12:02:39 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Apr 11 12:02:40 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 11 12:02:40 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 11 12:02:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 11 12:02:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 11 12:02:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 11 12:02:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 11 12:02:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 11 12:02:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 11 12:02:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Apr 11 12:02:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Apr 11 12:02:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Apr 11 12:02:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Apr 11 12:02:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Apr 11 12:02:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Apr 11 12:02:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sat Apr 11 12:04:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Apr 11 12:04:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Apr 11 12:04:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Apr 11 12:04:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Apr 11 12:04:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Apr 11 12:04:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Apr 11 12:04:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Apr 11 12:04:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Apr 11 12:04:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Apr 11 12:04:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Apr 11 12:04:42 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Apr 11 12:04:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Apr 11 12:04:43 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Apr 11 12:04:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Apr 11 12:04:44 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Apr 11 12:04:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Apr 11 12:04:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Apr 11 12:04:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Apr 11 12:04:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Apr 11 12:04:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Apr 11 12:04:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Apr 11 12:04:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Apr 11 12:04:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Apr 11 12:04:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Apr 11 12:04:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Apr 11 12:04:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Apr 11 12:04:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Apr 11 12:04:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Apr 11 12:04:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Apr 11 12:04:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Apr 11 12:04:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Apr 11 12:04:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 14 15:55:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 14 15:55:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 14 15:55:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 14 15:55:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 14 15:55:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 14 15:55:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 14 15:55:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 14 15:55:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 14 15:55:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 14 15:55:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 14 15:55:50 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 14 15:55:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 14 15:55:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 14 15:55:51 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 14 15:55:51 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 14 15:55:52 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 14 15:55:52 2020 FIT: data read from 'condo/data_condo_4_220µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 14 15:55:52 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 14 15:55:53 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 14 15:55:53 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 14 15:55:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 14 15:55:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 14 15:55:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 14 15:55:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 14 15:55:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 14 15:55:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 14 15:55:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 14 15:55:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 14 15:55:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 14 15:55:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 14 15:55:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 14 15:55:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 14 15:55:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 14 15:57:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 14 15:57:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 14 15:57:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 14 15:57:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 14 15:57:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 14 15:57:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 14 15:57:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 14 15:57:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 14 15:57:55 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 14 15:57:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 14 15:57:56 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 14 15:57:56 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 14 15:57:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 14 15:57:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 14 15:57:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 14 15:57:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 14 15:57:58 2020 FIT: data read from 'condo/data_condo_4_220µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 14 15:57:59 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 14 15:57:59 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 14 15:58:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 14 15:58:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 14 16:00:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 14 16:00:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 14 16:00:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 14 16:00:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 14 16:00:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 14 16:00:50 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 14 16:00:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 14 16:00:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 14 16:00:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 14 16:00:52 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 14 16:00:52 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 14 16:00:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 14 16:00:53 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 14 16:00:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 14 16:00:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 14 16:00:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 14 16:00:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 14 16:00:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 14 16:00:56 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 14 16:00:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 14 16:00:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 14 16:00:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 14 16:00:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 14 16:00:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 14 16:00:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 14 16:00:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 14 16:00:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 14 16:00:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 14 16:00:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 14 16:00:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 14 16:00:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 14 16:00:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 14 16:00:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 14 16:02:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 14 16:02:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 14 16:02:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 14 16:02:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 14 16:02:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 14 16:02:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 14 16:02:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 14 16:02:11 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 14 16:02:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 14 16:02:12 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 14 16:02:13 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 14 16:02:13 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 14 16:02:13 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 14 16:02:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 14 16:02:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 14 16:02:15 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 14 16:02:15 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 14 16:02:15 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 14 16:02:16 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 14 16:02:16 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 14 16:02:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 14 16:02:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 14 16:02:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 14 16:02:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 14 16:02:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 14 16:02:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 14 16:02:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 14 16:02:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 14 16:02:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 14 16:02:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 14 16:02:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 14 16:02:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 14 16:02:18 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 14 16:05:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 14 16:05:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 14 16:05:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 14 16:05:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 14 16:05:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 14 16:05:09 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 14 16:05:09 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 14 16:05:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 14 16:05:10 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 14 16:05:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 14 16:05:11 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 14 16:05:11 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 14 16:05:12 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 14 16:05:12 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 14 16:05:13 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 14 16:05:13 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 14 16:05:13 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 14 16:05:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 14 16:05:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 14 16:05:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 14 16:05:16 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 14 16:28:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 14 16:28:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 14 16:28:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 14 16:28:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 14 16:28:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 14 16:28:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 14 16:28:38 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 14 16:28:38 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 14 16:28:39 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 14 16:28:39 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 14 16:28:40 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 14 16:28:40 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 14 16:28:40 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 14 16:28:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 14 16:28:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 14 16:28:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 14 16:28:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 14 16:28:43 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 14 16:28:43 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 14 16:28:43 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 14 16:28:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 14 16:28:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 14 16:28:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 14 16:28:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 14 16:28:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 14 16:28:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 14 16:28:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 14 16:28:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 14 16:28:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 14 16:28:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 14 16:28:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 14 16:28:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 14 16:28:45 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 14 16:28:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 14 16:28:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 14 16:28:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 14 16:28:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 14 16:28:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 14 16:28:59 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 14 16:29:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 14 16:29:00 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 14 16:29:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 14 16:29:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 14 16:29:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 14 16:29:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 14 16:29:02 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 14 16:29:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 14 16:29:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 14 16:29:04 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 14 16:29:04 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 14 16:29:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 14 16:29:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 14 16:29:05 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 14 16:29:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 14 16:29:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 14 16:29:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 14 16:29:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 14 16:29:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 14 16:29:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 14 16:29:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 14 16:29:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 14 16:29:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 14 16:29:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 14 16:29:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 14 16:29:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 14 16:29:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 14 16:30:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 14 16:30:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 14 16:30:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 14 16:30:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 14 16:30:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 14 16:30:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 14 16:30:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 14 16:30:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 14 16:30:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 14 16:30:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 14 16:30:04 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 14 16:30:04 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 14 16:30:05 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 14 16:30:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 14 16:30:06 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 14 16:30:06 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 14 16:30:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 14 16:30:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 14 16:30:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 14 16:30:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 14 16:30:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 14 16:30:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 14 16:30:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 14 16:30:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 14 16:30:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 14 16:30:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 14 16:30:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 14 16:30:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 14 16:30:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 14 16:30:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 14 16:30:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 14 16:30:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 14 16:30:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 14 16:30:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 14 16:30:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 14 16:30:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 14 16:30:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 14 16:30:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 14 16:30:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 14 16:30:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 14 16:30:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 14 16:30:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 14 16:30:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 14 16:30:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 14 16:30:28 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 14 16:30:28 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 14 16:30:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 14 16:30:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 14 16:30:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 14 16:30:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 14 16:30:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 14 16:30:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 14 16:30:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 14 16:30:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 14 16:30:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 14 16:30:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 14 16:30:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 14 16:30:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 14 16:30:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 14 16:30:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 14 16:30:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 14 16:30:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 14 16:30:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 14 16:30:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 14 16:30:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 14 16:30:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 14 16:30:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 14 16:30:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 14 16:30:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 14 16:30:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 14 16:30:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 14 16:30:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 14 16:30:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 14 16:30:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 14 16:30:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 14 16:30:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 14 16:30:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 14 16:30:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 14 16:31:00 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 14 16:31:00 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 14 16:31:01 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 14 16:31:01 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 14 16:31:01 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 14 16:31:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 14 16:31:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 14 16:31:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 14 16:31:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 14 16:32:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 14 16:32:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 14 16:32:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 14 16:32:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 14 16:32:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 14 16:32:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 14 16:32:46 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 14 16:32:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 14 16:32:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 14 16:32:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 14 16:32:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 14 16:32:48 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 14 16:32:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 14 16:32:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 14 16:32:49 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 14 16:32:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 14 16:32:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 14 16:32:50 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 14 16:32:51 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 14 16:32:51 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 14 16:32:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 14 16:32:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 14 16:32:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 14 16:32:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 14 16:32:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 14 16:32:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 14 16:32:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 14 16:32:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 14 16:32:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 14 16:32:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 14 16:32:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 14 16:32:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 14 16:32:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 21 21:45:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 21 21:45:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 21 21:45:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 21 21:45:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 21 21:45:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 21 21:45:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 21 21:45:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 21 21:45:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 21 21:45:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 21 21:45:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 21 21:45:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 21 21:45:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 21 21:45:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 21 21:45:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 21 21:45:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 21 21:45:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 21 21:45:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 21 21:46:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 14:42:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 14:42:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 14:42:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 14:42:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 14:42:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 14:42:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 14:42:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 14:42:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 14:42:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 14:42:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 14:42:14 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 14:42:14 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 14:42:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 14:42:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 14:42:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 14:42:14 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 14:42:14 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 14:42:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 14:42:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 14:42:15 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 14:44:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 14:44:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 14:44:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 14:44:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 14:44:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 14:44:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 14:44:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 14:44:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 14:44:40 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 14:44:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 14:44:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 14:44:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 14:44:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 14:44:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 14:44:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 14:44:41 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 14:44:41 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 14:44:41 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 14:44:41 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 14:44:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 14:45:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 14:45:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 14:45:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 14:45:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 14:45:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 14:45:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 14:45:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 14:45:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 14:45:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 14:45:20 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 14:45:20 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 14:45:20 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 14:45:20 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 14:45:20 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 14:45:20 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 14:45:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 14:45:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 14:45:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 14:45:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 14:45:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 14:45:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 14:45:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 14:45:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 14:45:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 14:45:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 14:45:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 14:45:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 14:45:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 14:45:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 14:45:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 14:45:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 14:45:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 14:45:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 14:45:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 14:45:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 14:45:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 14:45:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 14:45:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 14:45:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 14:48:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 14:48:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 14:48:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 14:48:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 14:48:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 14:48:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 14:48:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 14:48:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 14:48:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 14:48:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 14:48:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 14:48:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 14:48:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 14:48:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 14:48:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 16:51:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 16:51:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 16:51:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 16:51:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 16:51:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 16:51:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 16:51:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 16:51:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 16:51:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 16:51:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 16:51:47 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 16:51:47 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 16:51:47 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 16:51:47 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 16:51:47 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 16:51:47 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 16:51:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 16:52:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 16:52:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 16:52:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 16:52:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 16:52:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 16:52:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 16:52:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 16:52:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 16:52:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 16:52:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 16:52:56 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 16:52:56 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 16:52:56 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 16:52:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 16:52:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 16:52:56 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 16:52:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 16:53:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 16:53:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 16:53:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 16:53:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 16:53:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 16:53:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 16:53:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 16:53:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 16:53:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 16:53:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 16:53:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 16:53:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 16:53:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 16:53:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 16:53:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 16:53:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 16:53:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 16:53:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 16:53:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 16:53:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 16:53:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 16:53:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 16:53:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 16:53:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 16:53:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 16:53:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 16:53:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 16:53:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 16:53:57 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 16:53:57 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 16:53:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 16:53:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 16:54:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 16:54:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 16:54:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 16:54:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 16:54:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 16:54:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 16:54:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 16:54:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 16:54:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 16:54:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 16:54:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 16:54:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 16:54:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 16:54:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 16:54:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 16:54:23 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 16:54:23 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 16:54:23 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 16:54:24 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 16:54:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 16:54:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 16:54:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 16:54:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 16:54:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 16:54:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 16:54:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 16:54:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 16:54:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 16:54:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 16:54:54 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 16:54:54 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 16:54:54 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 16:54:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 16:54:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 16:54:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:03:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:03:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:03:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:03:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:03:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:03:20 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:03:20 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:03:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:03:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:03:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:03:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:03:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:04:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:04:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:04:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:04:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:04:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:04:03 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:04:03 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:04:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:04:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:04:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:04:04 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:04:04 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:04:04 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:04:04 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:04:04 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:04:04 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:04:04 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:04:05 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:05:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:05:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:05:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:05:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:05:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:05:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:05:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:05:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:05:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:05:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:05:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:05:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:05:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:05:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:05:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:05:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:06:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:06:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:06:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:06:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:06:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:06:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:06:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:06:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:06:55 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:06:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:06:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:06:55 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:06:55 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:06:55 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:06:55 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:06:56 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:07:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:07:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:07:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:07:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:07:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:07:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:07:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:07:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:07:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:07:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:07:58 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:07:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:08:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:08:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:08:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:08:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:08:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:08:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:08:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:08:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:08:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:08:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:08:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:08:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:08:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:08:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:08:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:08:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:08:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:08:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:16:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:16:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:16:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:16:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:16:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:16:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:16:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:16:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:16:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:16:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:16:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:16:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:16:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:16:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:16:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:16:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:16:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:17:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:17:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:17:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:17:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:17:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:17:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:17:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:17:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:17:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:17:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:17:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:17:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:17:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:17:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:17:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:17:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:17:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:17:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:17:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:18:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:18:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:18:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:18:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:18:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:18:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:18:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:18:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:18:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:18:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:18:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:18:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:18:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:18:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:18:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:18:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:18:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:18:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:18:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:18:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:18:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:18:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:18:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:18:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:18:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:18:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:18:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:18:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:18:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:18:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:18:29 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:18:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:18:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:18:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:18:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:18:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:18:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:18:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:18:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:18:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:18:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:18:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:18:54 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:18:54 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:18:54 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:18:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:18:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:18:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:18:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:18:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:18:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:18:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:18:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:19:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:19:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:19:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:19:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:19:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:19:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:19:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:19:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:19:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:19:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:19:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:19:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:19:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:19:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:19:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:20:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:20:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:20:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:20:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:20:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:20:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:20:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:20:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:20:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:20:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:20:34 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:20:34 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:20:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:20:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:21:11 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:21:11 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:21:11 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:21:11 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:21:11 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:21:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:21:12 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:21:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:21:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:21:12 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:21:12 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:21:12 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:21:12 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:21:12 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:21:12 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:21:12 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:21:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:21:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:21:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:21:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:21:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:21:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:21:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:21:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:21:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:21:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:21:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:21:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:21:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:21:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:21:36 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:21:36 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:21:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:21:36 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:21:36 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:21:36 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:21:36 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:21:37 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:21:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:21:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:21:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:21:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:21:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:21:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:21:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:21:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:21:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:21:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:21:47 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:21:47 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:21:47 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:21:47 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:21:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:22:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:22:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:22:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:22:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:22:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:22:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:22:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:22:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:22:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:22:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:22:01 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:22:01 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:22:01 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:22:01 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:22:01 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:22:01 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:22:02 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:22:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:22:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:22:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:22:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:22:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:22:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:22:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:22:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:22:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:22:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:22:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:22:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:22:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:22:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:22:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:22:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:22:20 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:22:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:22:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:22:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:22:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:22:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:22:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:22:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:22:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:22:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:22:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:22:47 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:22:47 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:22:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:22:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:22:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:22:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:22:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:22:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:22:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:22:49 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:23:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:23:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:23:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:23:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:23:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:23:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:23:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:23:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:23:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:23:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:23:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:23:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:23:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:24:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:24:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:24:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:24:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:24:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:24:09 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:24:09 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:24:09 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:24:09 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:24:09 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:24:09 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:24:09 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:24:09 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:24:09 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:24:09 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:24:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:24:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:24:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:24:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:24:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:24:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:24:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:24:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:24:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:24:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:24:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:24:31 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:24:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:24:31 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:24:31 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:24:31 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:24:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:24:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:24:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:24:32 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:25:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:25:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:25:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:25:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:25:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:25:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:25:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:25:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:25:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:25:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:25:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:25:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:25:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:25:36 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:25:37 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:27:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:27:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:27:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:27:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:27:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:27:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:27:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:27:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:27:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:27:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:27:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:27:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:27:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:27:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:27:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:27:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:27:29 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:27:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:28:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:28:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:28:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:28:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:28:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:28:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:28:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:28:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:28:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:28:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:28:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:28:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:28:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:28:36 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:28:36 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:28:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:28:36 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:28:36 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:28:37 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:29:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:29:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:29:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:29:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:29:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:29:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:29:04 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:29:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:29:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:29:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:29:04 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:29:04 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:29:05 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:29:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:29:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:29:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:29:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:29:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:29:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:29:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:29:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:29:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:29:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:29:25 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:29:25 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:29:25 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:29:25 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:29:25 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:29:26 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:30:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:30:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:30:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:30:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:30:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:30:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:30:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:30:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:30:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:30:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:30:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:30:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:30:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:30:36 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:30:36 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:30:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:30:36 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:30:36 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:30:37 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:47:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:47:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:47:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:47:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:47:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:47:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:47:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:47:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:47:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:47:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:47:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:47:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:47:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:47:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:47:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:47:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:47:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:47:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:48:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:48:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:48:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:48:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:48:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:48:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:48:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:48:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:48:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:48:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:48:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:48:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:48:02 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:48:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:48:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:48:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:48:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:48:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:48:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:48:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:48:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:48:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:48:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:48:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:48:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:48:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:48:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:48:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:48:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:48:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:48:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:48:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:48:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:48:19 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 17:49:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 17:49:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 17:49:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 17:49:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 17:49:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 17:49:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 17:49:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 17:49:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 17:49:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 17:49:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 17:49:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 17:49:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 17:49:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 17:49:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 17:49:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 17:49:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 17:49:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 17:49:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 17:49:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 18:02:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 18:02:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 18:02:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 18:02:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 18:02:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 18:02:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 18:02:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 18:02:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 18:02:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 18:02:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 18:02:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 18:02:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 18:02:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 18:05:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 18:05:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 18:05:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 18:05:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 18:05:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 18:05:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 18:05:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 18:05:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 18:05:05 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 18:05:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 18:05:06 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 18:05:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 18:05:06 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 18:05:06 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 18:05:06 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 18:05:06 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 18:05:06 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 18:05:06 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 18:05:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 18:06:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 18:06:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 18:06:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 18:06:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 18:06:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 18:06:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 18:06:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 18:06:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 18:06:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 18:06:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 18:06:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 18:06:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 18:06:25 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 18:09:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 18:09:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 18:09:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 18:09:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 18:09:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 18:09:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 18:09:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 18:09:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 18:09:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 18:09:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 18:09:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 18:09:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 18:09:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 18:09:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 18:09:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 18:09:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 18:09:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 18:09:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 18:09:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 18:09:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 18:11:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 18:11:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 18:11:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 18:11:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 18:11:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 18:11:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 18:11:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 18:11:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 18:11:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 18:11:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 18:11:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 18:11:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 18:11:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 18:11:18 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 18:16:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 18:16:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 18:16:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 18:16:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 18:16:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 18:16:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 18:16:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 18:16:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 18:16:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 18:16:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 18:16:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 18:16:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 18:16:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 18:19:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 18:19:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 18:19:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 18:19:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 18:19:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 18:19:39 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 18:19:39 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 18:19:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 18:19:39 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 18:19:39 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 18:19:39 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 18:19:39 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 18:19:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 18:19:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 18:23:32 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 18:23:32 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 18:23:32 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 18:23:32 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 18:23:32 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 18:23:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 18:23:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 18:23:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 18:23:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 18:23:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 18:23:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 18:23:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 18:23:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 18:23:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 18:23:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 18:23:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 18:23:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 18:23:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 18:23:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 18:24:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 18:24:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 18:24:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 18:24:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 18:24:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 18:24:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 18:24:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 18:24:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 18:24:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 18:24:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 18:24:31 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 18:24:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 18:24:31 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 18:24:31 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 18:24:31 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 18:24:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 18:24:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 18:24:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 18:24:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 18:24:32 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 22:31:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 22:31:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 22:31:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 22:31:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 22:31:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 22:31:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 22:31:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 22:31:38 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 22:31:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 22:31:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 22:31:38 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 22:31:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 22:31:38 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 22:31:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 22:31:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 22:31:38 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 22:31:39 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 22:31:39 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 22:31:39 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 22:31:39 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 22:31:40 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 23:16:53 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 23:16:54 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 23:24:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 23:24:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 23:24:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 23:24:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 23:24:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 23:24:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 23:24:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 23:24:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 23:24:28 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 23:24:28 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 23:24:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 23:24:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 23:24:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 23:24:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 23:24:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 23:24:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 23:24:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 23:24:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 23:25:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 23:25:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 23:25:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 23:25:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 23:25:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 23:25:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 23:25:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 23:25:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 23:25:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 23:25:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 23:25:43 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 23:25:43 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 23:25:43 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 23:25:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 23:25:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 23:26:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 23:26:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 23:26:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 23:26:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 23:26:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 23:26:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 23:26:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 23:26:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 23:26:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 23:26:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 23:26:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 23:26:08 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 23:26:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 23:26:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 23:30:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 23:30:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 23:30:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 23:30:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 23:30:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 23:30:20 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 23:30:20 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 23:30:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 23:30:20 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 23:30:21 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 23:30:21 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 23:30:21 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 23:30:21 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 23:30:21 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 23:30:21 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 23:30:21 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 23:30:21 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 23:30:21 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 23:30:21 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 23:30:22 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 23:33:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 23:33:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 23:33:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 23:33:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 23:33:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 23:33:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 23:33:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 23:33:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 23:33:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 23:33:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 23:33:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 23:33:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 23:33:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 23:33:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 23:33:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 23:33:41 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 23:33:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 23:43:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 23:43:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 23:43:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 23:43:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 23:43:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 23:43:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 23:43:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 23:43:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 23:43:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 23:43:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 23:43:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 23:43:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 23:43:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 23:43:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 23:43:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 23:43:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 23:43:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 23:49:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 23:49:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 23:49:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 23:49:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 23:49:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 23:49:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 23:49:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 23:49:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 23:49:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 23:49:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 23:49:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 23:49:55 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 23:49:55 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 23:49:55 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 23:49:55 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 23:49:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 23:49:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 23:49:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 23:49:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 23:49:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 23:49:56 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue Apr 28 23:50:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Apr 28 23:50:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Apr 28 23:50:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Apr 28 23:50:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Apr 28 23:50:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Apr 28 23:50:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Apr 28 23:50:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Apr 28 23:50:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Apr 28 23:50:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Apr 28 23:50:21 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Apr 28 23:50:21 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Apr 28 23:50:22 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Apr 28 23:50:22 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Apr 28 23:50:22 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Apr 28 23:50:22 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Apr 28 23:50:22 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Apr 28 23:50:22 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Apr 28 23:50:22 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Apr 28 23:50:22 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Apr 28 23:50:23 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 10:02:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 10:02:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 10:02:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 10:02:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 10:02:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 10:02:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 10:02:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 10:02:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 10:02:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 10:02:09 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 10:02:09 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 10:02:09 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 10:02:09 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 10:02:09 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 10:02:09 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 10:02:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 10:02:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 10:02:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 10:02:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 10:02:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 11:49:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 11:49:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 11:49:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 11:49:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 11:49:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 11:49:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 11:49:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 11:49:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 11:49:40 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 11:49:40 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 11:49:40 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 11:49:40 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 11:49:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 11:49:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 11:52:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 11:52:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 11:52:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 11:52:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 11:52:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 11:52:59 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 11:52:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 11:52:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 11:53:00 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 11:53:00 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 11:53:00 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 11:53:00 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 11:53:00 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 11:53:00 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 11:53:00 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 11:53:00 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 11:53:00 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 11:53:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 11:55:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 11:55:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 11:55:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 11:55:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 11:55:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 11:55:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 11:55:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 11:55:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 11:55:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 11:55:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 11:55:25 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 11:55:25 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 11:55:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 11:55:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 11:59:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 11:59:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 11:59:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 11:59:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 11:59:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 11:59:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 11:59:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 11:59:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 11:59:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 11:59:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 11:59:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 11:59:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 11:59:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 11:59:24 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 12:01:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 12:01:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 12:01:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 12:01:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 12:01:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 12:01:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 12:01:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 12:01:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 12:01:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 12:01:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 12:01:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 12:01:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 12:01:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 12:01:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 12:02:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 12:02:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 12:02:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 12:02:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 12:02:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 12:02:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 12:02:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 12:02:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 12:02:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 12:02:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 12:02:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 12:02:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 12:02:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 12:02:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 12:02:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 12:02:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 12:02:28 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 12:03:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 12:03:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 12:03:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 12:03:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 12:03:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 12:03:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 12:03:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 12:03:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 12:03:28 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 12:03:28 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 12:03:28 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 12:03:28 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 12:03:28 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 12:03:28 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 12:03:28 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 12:03:28 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 12:03:29 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 12:03:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 12:03:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 12:03:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 12:03:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 12:03:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 12:03:59 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 12:03:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 12:03:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 12:03:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 12:03:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 12:03:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 12:04:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 12:04:01 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 12:06:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 12:06:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 12:06:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 12:06:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 12:06:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 12:06:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 12:06:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 12:06:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 12:06:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 12:06:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 12:06:31 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 12:06:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 12:06:31 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 12:06:32 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 12:08:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 12:08:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 12:08:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 12:08:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 12:08:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 12:08:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 12:08:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 12:08:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 12:08:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 12:08:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 12:08:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 12:08:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 12:08:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 12:08:37 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 12:10:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 12:10:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 12:10:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 12:10:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 12:10:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 12:10:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 12:10:16 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 12:10:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 12:10:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 12:10:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 12:10:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 12:10:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 12:10:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 12:10:17 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 12:10:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 12:10:17 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 12:10:18 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 12:11:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 12:11:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 12:11:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 12:11:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 12:11:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 12:11:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 12:11:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 12:11:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 12:11:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 12:11:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 12:11:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 12:11:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 12:11:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 12:11:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 12:11:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 12:11:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 12:11:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 12:11:59 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 12:12:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 12:13:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 12:13:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 12:13:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 12:13:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 12:13:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 12:13:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 12:13:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 12:13:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 12:13:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 12:13:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 12:13:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 12:13:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 12:13:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 12:13:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 12:13:31 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 12:15:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 12:15:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 12:15:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 12:15:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 12:15:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 12:15:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 12:15:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 12:15:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 12:15:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 12:15:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 12:15:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 12:15:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 12:15:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 12:15:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 12:15:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 12:17:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 12:17:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 12:17:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 12:17:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 12:17:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 12:17:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 12:17:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 12:17:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 12:17:05 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 12:17:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 12:17:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 12:17:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 12:17:06 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 12:17:06 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 12:17:06 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 12:17:06 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 12:17:06 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 12:17:06 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 12:17:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 12:17:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 12:17:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 14:43:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 14:43:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 14:43:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 14:43:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 14:43:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 14:43:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 14:43:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 14:43:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 14:43:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 14:43:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 14:43:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 14:43:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 14:43:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 14:43:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 14:43:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 14:43:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 14:43:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 14:43:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 14:43:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 14:43:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 14:43:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 14:48:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 14:48:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 14:48:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 14:48:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 14:48:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 14:48:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 14:48:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 14:48:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 14:48:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 14:48:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 14:48:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 14:48:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 14:48:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 14:48:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 14:48:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 14:48:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 14:48:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 14:48:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 14:48:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 14:48:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 14:48:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 14:51:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 14:51:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 14:51:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 14:51:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 14:51:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 14:51:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 14:51:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 14:51:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 14:51:20 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 14:51:20 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 14:51:20 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 14:51:20 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 14:51:20 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 14:51:20 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 14:51:20 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 14:51:20 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 14:51:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 14:51:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 14:51:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 14:52:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 14:52:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 14:52:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 14:52:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 14:52:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 14:52:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 14:52:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 14:52:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 14:52:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 14:52:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 14:52:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 14:52:48 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 14:52:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 14:52:48 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 14:52:48 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 14:52:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 14:52:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 14:52:49 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 14:54:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 14:54:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 14:54:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 14:54:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 14:54:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 14:54:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 14:54:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 14:54:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 14:54:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 14:54:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 14:54:37 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 14:54:37 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 14:54:37 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 14:54:37 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 14:54:37 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 14:54:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 14:54:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 14:55:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 14:55:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 14:55:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 14:55:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 14:55:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 14:55:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 14:55:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 14:55:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 14:55:10 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 14:55:10 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 14:55:10 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 14:55:10 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 14:55:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 14:55:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 14:58:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 14:58:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 14:58:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 14:58:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 14:58:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 14:58:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 14:58:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 14:58:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 14:58:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 14:58:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 14:58:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 14:58:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 14:58:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 14:58:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 14:58:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 14:58:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 14:58:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 14:58:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 14:58:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 14:58:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 14:58:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 14:58:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 14:58:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 14:58:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 14:58:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 14:58:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 14:58:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 14:58:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 14:58:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 14:58:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 14:58:35 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 14:58:35 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 14:58:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 14:58:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 14:58:35 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 14:58:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 14:58:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 14:58:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 14:58:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 14:58:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 14:58:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 14:58:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:01:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:01:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:01:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:01:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:01:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:01:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:01:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:01:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:01:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:01:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:01:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:01:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:01:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:01:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:01:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:01:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:01:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:01:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:01:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:01:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:01:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:02:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:02:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:02:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:02:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:02:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:02:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:02:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:02:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:02:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:02:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:02:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:02:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:02:02 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:02:02 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:02:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:02:04 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:03:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:03:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:03:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:03:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:03:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:03:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:03:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:03:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:03:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:03:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:03:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:03:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:03:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:03:57 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:03:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:06:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:06:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:06:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:06:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:06:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:06:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:06:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:06:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:06:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:06:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:06:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:06:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:06:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:06:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:06:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:06:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:08:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:08:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:08:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:08:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:08:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:08:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:08:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:08:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:08:10 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:08:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:08:11 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:08:11 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:08:11 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:08:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:08:11 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:08:11 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:08:11 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:08:11 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:08:11 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:08:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:09:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:09:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:09:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:09:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:09:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:09:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:09:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:09:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:09:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:09:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:09:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:09:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:09:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:09:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:09:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:09:19 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:21:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:21:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:21:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:21:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:21:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:21:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:21:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:21:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:21:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:21:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:21:37 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:21:37 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:21:37 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:21:37 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:21:37 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:21:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:21:37 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:21:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:21:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:21:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:28:11 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:28:11 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:28:11 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:28:11 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:28:11 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:28:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:28:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:28:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:28:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:28:12 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:28:12 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:28:12 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:28:12 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:28:12 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:28:12 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:28:12 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:28:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:32:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:32:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:32:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:32:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:32:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:32:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:32:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:32:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:32:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:32:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:32:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:32:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:32:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:32:29 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:32:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:32:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:32:29 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:32:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:33:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:33:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:33:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:33:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:33:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:33:20 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:33:20 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:33:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:33:20 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:33:20 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:33:20 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:33:20 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:33:20 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:33:20 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:33:21 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:37:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:37:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:37:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:37:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:37:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:37:14 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:37:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:37:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:37:15 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:37:15 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:37:15 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:37:15 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:37:15 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:37:15 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:37:15 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:37:15 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:37:15 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:37:16 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:38:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:38:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:38:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:38:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:38:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:38:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:38:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:38:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:38:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:38:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:38:22 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:38:22 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:38:22 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:38:22 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:38:22 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:38:22 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:38:22 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:38:22 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:38:22 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:38:23 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 15:39:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 15:39:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 15:39:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 15:39:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 15:39:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 15:39:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 15:39:04 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 15:39:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 15:39:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 15:39:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 15:39:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 15:39:05 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 15:39:05 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 15:39:05 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 15:39:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 15:39:05 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 15:39:05 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 15:39:05 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 15:39:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 15:39:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 15:39:06 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 19:19:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 19:19:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 19:19:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 19:19:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 19:19:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 19:19:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 19:19:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 19:19:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 19:19:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 19:19:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 19:19:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 19:19:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 19:19:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 19:19:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 19:19:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 19:19:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 19:20:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 19:23:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 19:23:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 19:23:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 19:23:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 19:23:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 19:23:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 19:23:42 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 19:23:42 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 19:23:42 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 19:23:42 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 19:23:42 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 19:23:42 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 19:23:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 19:23:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 19:23:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 19:23:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 19:23:43 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 19:32:32 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 19:32:32 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 19:32:32 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 19:32:32 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 19:32:32 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 19:32:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 19:32:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 19:32:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 19:32:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 19:32:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 19:32:33 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 19:32:33 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 19:32:33 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 19:32:33 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 19:32:33 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 19:32:33 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 19:32:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 19:32:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 19:32:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 19:32:34 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 19:33:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 19:33:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 19:33:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 19:33:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 19:33:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 19:33:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 19:33:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 19:33:00 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 19:33:00 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 19:33:00 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 19:33:00 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 19:33:00 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 19:33:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 19:33:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 19:33:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 19:33:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 19:33:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 19:33:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 19:33:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 19:33:02 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 19:34:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 19:34:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 19:34:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 19:34:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 19:34:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 19:34:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 19:34:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 19:34:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 19:34:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 19:34:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 19:34:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 19:34:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 19:34:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 19:34:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 19:34:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 19:34:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 19:34:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 19:34:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 19:34:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 19:34:19 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 19:36:05 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 19:36:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 19:36:07 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed Apr 29 19:36:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Apr 29 19:36:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Apr 29 19:36:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Apr 29 19:36:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Apr 29 19:36:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Apr 29 19:36:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Apr 29 19:36:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Apr 29 19:36:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Apr 29 19:36:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Apr 29 19:36:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Apr 29 19:36:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Apr 29 19:36:46 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Apr 29 19:36:46 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Apr 29 19:36:46 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Apr 29 19:36:46 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Apr 29 19:36:46 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Apr 29 19:36:46 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Apr 29 19:36:46 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Apr 29 19:36:46 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Apr 29 19:36:46 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Apr 29 19:36:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Apr 29 19:36:47 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun May 3 19:46:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 3 19:46:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 3 19:46:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 3 19:46:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 3 19:46:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 3 19:46:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 3 19:46:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 3 19:46:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 3 19:46:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 3 19:46:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 3 19:46:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 3 19:46:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 3 19:46:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 3 19:46:08 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 3 19:46:08 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 3 19:46:08 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 3 19:46:08 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 3 19:46:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Sun May 3 19:46:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 3 19:46:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 3 19:46:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 3 19:46:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 3 19:46:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 3 19:46:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 3 19:46:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 3 19:46:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 3 19:46:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 3 19:46:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 3 19:46:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 3 19:46:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 3 19:46:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 3 19:46:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 3 19:46:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 3 19:46:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 3 19:46:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 3 19:46:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 3 19:46:25 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon May 4 23:42:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 4 23:42:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 4 23:42:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 4 23:42:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 4 23:42:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 4 23:42:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 4 23:42:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 4 23:42:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 4 23:42:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 4 23:42:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 4 23:42:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 4 23:42:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 4 23:42:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 4 23:42:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 4 23:42:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 4 23:42:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 4 23:42:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 4 23:42:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon May 4 23:43:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 4 23:43:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 4 23:43:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 4 23:43:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 4 23:43:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 4 23:43:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 4 23:43:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 4 23:43:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 4 23:43:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 4 23:43:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 4 23:43:54 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 4 23:43:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 4 23:43:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 4 23:43:54 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 4 23:43:54 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 4 23:43:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon May 4 23:44:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 4 23:44:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 4 23:44:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 4 23:44:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 4 23:44:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 4 23:44:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 4 23:44:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 4 23:44:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 4 23:44:40 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 4 23:44:40 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 4 23:44:40 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 4 23:44:40 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 4 23:44:40 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 4 23:44:40 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 4 23:44:40 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 4 23:44:41 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon May 4 23:45:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 4 23:45:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 4 23:45:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 4 23:45:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 4 23:45:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 4 23:45:14 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 4 23:45:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 4 23:45:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 4 23:45:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 4 23:45:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 4 23:45:14 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 4 23:45:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 4 23:45:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 4 23:45:16 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon May 4 23:45:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 4 23:45:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 4 23:45:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 4 23:45:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 4 23:45:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 4 23:45:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 4 23:45:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 4 23:45:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 4 23:45:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 4 23:45:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 4 23:45:44 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 4 23:45:44 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 4 23:45:44 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 4 23:45:44 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 4 23:45:44 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 4 23:45:44 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 4 23:45:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 4 23:45:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 4 23:45:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 4 23:45:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 4 23:45:45 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon May 4 23:46:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 4 23:46:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 4 23:46:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 4 23:46:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 4 23:46:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 4 23:46:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 4 23:46:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 4 23:46:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 4 23:46:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 4 23:46:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 4 23:46:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 4 23:46:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 4 23:46:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 4 23:46:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 4 23:46:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 4 23:46:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 4 23:46:08 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon May 4 23:46:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 4 23:46:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 4 23:46:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 4 23:46:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 4 23:46:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 4 23:46:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 4 23:46:46 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 4 23:46:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 4 23:46:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 4 23:46:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 4 23:46:47 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 4 23:46:47 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 4 23:46:47 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 4 23:46:47 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 4 23:46:47 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 4 23:46:47 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 4 23:46:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon May 4 23:47:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 4 23:47:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 4 23:47:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 4 23:47:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 4 23:47:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 4 23:47:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 4 23:47:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 4 23:47:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 4 23:47:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 4 23:47:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 4 23:47:37 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 4 23:47:37 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 4 23:47:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 4 23:47:37 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 4 23:47:37 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 4 23:47:37 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 4 23:47:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 4 23:47:37 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 4 23:47:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 4 23:47:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 4 23:47:38 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon May 4 23:47:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 4 23:47:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 4 23:47:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 4 23:47:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 4 23:47:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 4 23:47:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 4 23:47:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 4 23:47:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 4 23:47:55 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 4 23:47:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 4 23:47:56 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 4 23:47:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 4 23:47:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 4 23:47:56 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 4 23:47:56 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 4 23:47:56 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 4 23:47:56 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 4 23:47:56 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 4 23:47:56 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 4 23:47:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon May 4 23:48:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 4 23:48:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 4 23:48:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 4 23:48:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 4 23:48:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 4 23:48:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 4 23:48:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 4 23:48:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 4 23:48:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 4 23:48:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 4 23:48:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 4 23:48:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 4 23:48:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 4 23:48:08 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 4 23:48:08 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 4 23:48:08 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 4 23:48:08 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 4 23:48:08 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 4 23:48:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 4 23:48:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Mon May 4 23:48:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 4 23:48:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 4 23:48:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 4 23:48:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 4 23:48:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 4 23:48:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 4 23:48:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 4 23:48:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 4 23:48:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 4 23:48:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 4 23:48:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 4 23:48:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 4 23:48:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 4 23:48:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 4 23:48:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 4 23:48:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 4 23:48:20 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:35:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:35:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:35:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:35:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:35:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:35:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:35:42 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:35:42 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:35:42 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:35:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:35:43 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:35:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:35:43 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:35:43 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:35:43 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:35:43 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:35:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:36:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:36:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:36:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:36:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:36:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:36:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:36:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:36:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:36:55 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:36:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:36:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:36:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:36:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:36:56 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:36:56 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:36:56 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:36:56 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:36:56 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:36:56 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:36:56 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:36:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:36:57 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:37:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:37:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:37:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:37:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:37:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:37:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:37:24 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:37:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:37:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:37:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:37:25 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:37:25 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:37:25 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:37:25 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:37:25 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:37:25 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:37:25 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:37:25 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:37:26 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:38:15 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:38:15 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:38:15 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:38:15 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:38:15 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:38:15 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:38:15 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:38:15 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:38:15 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:38:15 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:38:15 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:38:15 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:38:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:38:17 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:38:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:38:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:38:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:38:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:38:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:38:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:38:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:38:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:38:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:38:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:38:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:38:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:38:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:38:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:38:32 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:38:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:38:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:38:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:38:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:38:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:38:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:38:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:38:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:38:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:38:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:38:47 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:38:47 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:38:47 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:38:47 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:38:47 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:38:48 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:39:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:39:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:39:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:39:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:39:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:39:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:39:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:39:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:39:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:39:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:39:44 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:39:44 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:39:44 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:39:44 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:39:45 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:39:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:39:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:39:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:39:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:39:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:39:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:39:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:39:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:39:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:39:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:39:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:39:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:39:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:39:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:39:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:39:57 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:39:57 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:39:58 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:40:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:40:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:40:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:40:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:40:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:40:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:40:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:40:11 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:40:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:40:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:40:11 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:40:11 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:40:11 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:40:11 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:40:11 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:40:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:40:13 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:40:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:40:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:40:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:40:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:40:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:40:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:40:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:40:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:40:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:40:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:40:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:40:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:40:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:40:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:40:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:40:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:40:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:40:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:40:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:40:32 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:41:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:41:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:41:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:41:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:41:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:41:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:41:04 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:41:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:41:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:41:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:41:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:41:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:41:05 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:41:05 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:41:05 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:41:05 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:41:05 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:41:05 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:41:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:41:06 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:41:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:41:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:41:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:41:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:41:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:41:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:41:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:41:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:41:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:41:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:41:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:41:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:41:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:41:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:41:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:41:26 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:41:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:41:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:41:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:41:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:41:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:41:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:41:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:41:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:41:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:41:51 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:41:51 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:41:52 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:41:52 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:41:52 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:41:52 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:41:52 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:41:52 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:41:52 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:41:52 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:41:52 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:41:52 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:41:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:45:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:45:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:45:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:45:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:45:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:45:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:45:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:45:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:45:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:45:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:45:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:45:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:45:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:45:08 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:45:08 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:45:08 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:45:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Tue May 5 08:45:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 5 08:45:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 5 08:45:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 5 08:45:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 5 08:45:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 5 08:45:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 5 08:45:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 5 08:45:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 5 08:45:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 5 08:45:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 5 08:45:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 5 08:45:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 5 08:45:49 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 5 08:45:49 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 5 08:45:49 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 5 08:45:49 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 5 08:45:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 5 08:45:49 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 5 08:45:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 5 08:45:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 5 08:45:49 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 5 08:45:50 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 11:01:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 11:01:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 11:01:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 11:01:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 11:01:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 11:01:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 11:01:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 11:01:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 11:01:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 11:01:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 11:01:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 11:01:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 11:01:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 11:01:08 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 11:01:08 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 11:01:09 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 11:01:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 11:01:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 11:01:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 11:01:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 11:01:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 11:01:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 11:01:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 11:01:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 11:01:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 11:01:52 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 11:01:52 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 11:01:52 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 11:01:52 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 11:01:52 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 11:01:52 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 11:01:52 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 11:01:52 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 11:01:53 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 11:02:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 11:02:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 11:02:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 11:02:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 11:02:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 11:02:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 11:02:42 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 11:02:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 11:02:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 11:02:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 11:02:43 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 11:02:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 11:02:43 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 11:02:43 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 11:02:43 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 11:02:43 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 11:02:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 11:03:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 11:03:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 11:03:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 11:03:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 11:03:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 11:03:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 11:03:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 11:03:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 11:03:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 11:03:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 11:03:44 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 11:03:44 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 11:03:44 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 11:03:44 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 11:03:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 11:03:46 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 11:05:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 11:05:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 11:05:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 11:05:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 11:05:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 11:05:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 11:05:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 11:05:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 11:05:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 11:05:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 11:05:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 11:05:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 11:05:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 11:05:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 11:05:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 11:05:23 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 11:05:24 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 11:10:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 11:10:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 11:10:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 11:10:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 11:10:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 11:10:03 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 11:10:03 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 11:10:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 11:10:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 11:10:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 11:10:04 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 11:10:04 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 11:10:04 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 11:10:04 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 11:10:04 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 11:10:04 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 11:10:05 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 11:10:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 11:10:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 11:10:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 11:10:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 11:10:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 11:10:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 11:10:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 11:10:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 11:10:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 11:10:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 11:10:35 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 11:10:35 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 11:10:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 11:10:35 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 11:10:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 11:10:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 11:10:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 11:10:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 11:10:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 16:35:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 16:35:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 16:35:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 16:35:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 16:35:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 16:35:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 16:35:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 16:35:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 16:35:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 16:35:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 16:35:43 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 16:35:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 16:35:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 16:35:45 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 16:36:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 16:36:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 16:36:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 16:36:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 16:36:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 16:36:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 16:36:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 16:36:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 16:36:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 16:36:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 16:36:54 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 16:36:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 16:36:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 16:36:54 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 16:36:54 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 16:36:54 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 16:36:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 16:36:55 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 16:38:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 16:38:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 16:38:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 16:38:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 16:38:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 16:38:09 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 16:38:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 16:38:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 16:38:10 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 16:38:10 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 16:38:10 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 16:38:10 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 16:38:10 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 16:38:10 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 16:38:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 16:38:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 16:38:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 16:39:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 16:39:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 16:39:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 16:39:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 16:39:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 16:39:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 16:39:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 16:39:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 16:39:28 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 16:39:28 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 16:39:28 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 16:39:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 16:39:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 16:39:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 16:39:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 16:39:29 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 16:39:29 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 16:39:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 16:39:29 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 16:39:29 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 16:39:30 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 16:49:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 16:49:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 16:49:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 16:49:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 16:49:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 16:49:20 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 16:49:20 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 16:49:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 16:49:20 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 16:49:21 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 16:49:21 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 16:49:21 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 16:49:21 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 16:49:21 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 16:49:21 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 16:49:21 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 16:49:21 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 16:49:21 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 16:49:21 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 16:49:22 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 16:50:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 16:50:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 16:50:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 16:50:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 16:50:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 16:50:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 16:50:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 16:50:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 16:50:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 16:50:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 16:50:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 16:50:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 16:50:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 16:50:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 16:50:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 16:50:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 16:50:28 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 16:51:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 16:51:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 16:51:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 16:51:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 16:51:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 16:51:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 16:51:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 16:51:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 16:51:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 16:51:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 16:51:43 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 16:51:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 16:51:43 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 16:51:43 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 16:51:43 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 16:51:43 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 16:51:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 16:58:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 16:58:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 16:58:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 16:58:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 16:58:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 16:58:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 16:58:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 16:58:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 16:58:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 16:58:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 16:58:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 16:58:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 16:58:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 16:58:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 16:58:58 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 16:58:58 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 16:58:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 16:58:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 16:58:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 16:58:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 16:58:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 16:58:59 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 16:59:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 16:59:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 16:59:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 16:59:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 16:59:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 16:59:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 16:59:50 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 16:59:50 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 16:59:50 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 16:59:50 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 16:59:50 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 16:59:50 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 16:59:50 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 16:59:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 16:59:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 16:59:51 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:00:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:00:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:00:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:00:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:00:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:00:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:00:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:00:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:00:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:00:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:00:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:00:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:00:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:00:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:00:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:00:23 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:00:24 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:02:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:02:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:02:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:02:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:02:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:02:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:02:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:02:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:02:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:02:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:02:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:02:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:02:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:02:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:02:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:02:26 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:02:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:02:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:02:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:02:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:02:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:03:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:03:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:03:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:03:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:03:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:03:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:03:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:03:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:03:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:03:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:03:31 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:03:31 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:03:31 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:03:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:03:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:03:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:04:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:04:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:04:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:04:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:04:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:04:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:04:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:04:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:04:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:04:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:04:34 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:04:34 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:04:34 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:04:34 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:04:34 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:04:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:04:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:05:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:05:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:05:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:05:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:05:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:05:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:05:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:05:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:05:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:05:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:05:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:05:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:05:50 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:05:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:05:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:05:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:05:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:05:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:05:50 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:05:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:05:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:05:51 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:06:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:06:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:06:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:06:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:06:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:06:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:06:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:06:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:06:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:06:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:06:34 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:06:34 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:06:34 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:06:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:06:36 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:08:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:08:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:08:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:08:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:08:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:08:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:08:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:08:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:08:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:08:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:08:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:08:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:08:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:08:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:08:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:08:41 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:08:41 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:08:42 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:09:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:09:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:09:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:09:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:09:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:09:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:09:42 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:09:42 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:09:42 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:09:42 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:09:42 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:09:42 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:09:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:09:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:09:44 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:13:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:13:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:13:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:13:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:13:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:13:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:13:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:13:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:13:10 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:13:10 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:13:11 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:13:11 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:13:11 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:13:11 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:13:11 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:13:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:13:11 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:13:11 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:13:11 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:13:12 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:15:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:15:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:15:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:15:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:15:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:15:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:15:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:15:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:15:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:15:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:15:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:15:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:15:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:15:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:15:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:15:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:15:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:15:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:15:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:16:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:16:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:16:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:16:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:16:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:16:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:16:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:16:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:16:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:16:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:16:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:16:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:16:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:16:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:16:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:16:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:16:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:16:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:16:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:16:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:21:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:21:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:21:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:21:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:21:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:21:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:21:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:21:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:21:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:21:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:21:25 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:21:25 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:21:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:21:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:21:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:21:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:21:27 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 17:23:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 17:23:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 17:23:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 17:23:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 17:23:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 17:23:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 17:23:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 17:23:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 17:23:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 17:23:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 17:23:47 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 17:23:47 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 17:23:47 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 17:23:47 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 17:23:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 17:23:49 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 19:16:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 19:16:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 19:16:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 19:16:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 19:16:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 19:16:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 19:16:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 19:16:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 19:16:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 19:16:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 19:16:34 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 19:16:34 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 19:16:34 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 19:16:34 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 19:16:34 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 19:16:35 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 19:17:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 19:17:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 19:17:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 19:17:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 19:17:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 19:17:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 19:17:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 19:17:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 19:17:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 19:17:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 19:17:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 19:17:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 19:17:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 19:17:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 19:17:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 19:17:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 19:17:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 19:17:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 19:17:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 19:17:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 19:17:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 19:17:33 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 19:18:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 19:18:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 19:18:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 19:18:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 19:18:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 19:18:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 19:18:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 19:18:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 19:18:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 19:18:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 19:18:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 19:18:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 19:18:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 19:18:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 19:18:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 19:18:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 19:19:00 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Wed May 6 19:21:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 6 19:21:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 6 19:21:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 6 19:21:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 6 19:21:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 6 19:21:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 6 19:21:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 6 19:21:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 6 19:21:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 6 19:21:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 6 19:21:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 6 19:21:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 6 19:21:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 6 19:21:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 6 19:21:10 2020 FIT: data read from 'test.txt' index 0 u 1:2 format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4700000000e+02 0.00e+00 1.40e+01 1.000000e+00 1.000000e+00 4 1.3285714286e+01 -2.16e-02 1.40e-03 6.250000e-01 1.696429e+00 After 4 iterations the fit converged. final sum of squares of residuals : 13.2857 rel. change during last iteration : -2.16481e-07 degrees of freedom (FIT_NDF) : 4 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.82248 variance of residuals (reduced chisquare) = WSSR/ndf : 3.32143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.625 +/- 0.1552 (24.84%) b = 1.69643 +/- 0.7761 (45.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.969 1.000 ******************************************************************************* Thu May 7 16:24:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu May 7 16:24:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu May 7 16:24:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu May 7 16:24:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu May 7 16:24:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu May 7 16:24:59 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu May 7 16:24:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu May 7 16:24:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu May 7 16:24:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu May 7 16:24:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu May 7 16:24:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Thu May 7 16:24:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Thu May 7 16:24:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu May 7 16:25:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu May 7 16:26:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu May 7 16:26:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu May 7 16:26:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu May 7 16:26:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu May 7 16:26:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu May 7 16:26:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu May 7 16:26:42 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu May 7 16:26:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu May 7 16:26:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu May 7 16:26:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu May 7 16:26:43 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Thu May 7 16:26:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Thu May 7 16:26:43 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Thu May 7 16:26:43 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu May 7 16:26:43 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Thu May 7 16:26:43 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Thu May 7 16:26:43 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu May 7 16:26:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu May 7 16:27:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu May 7 16:27:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu May 7 16:27:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu May 7 16:27:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu May 7 16:27:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu May 7 16:27:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu May 7 16:27:46 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu May 7 16:27:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu May 7 16:27:46 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu May 7 16:27:46 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu May 7 16:27:46 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Thu May 7 16:27:46 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Thu May 7 16:27:46 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Thu May 7 16:27:46 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu May 7 16:27:46 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu May 7 16:27:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu May 7 16:35:32 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu May 7 16:35:32 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu May 7 16:35:32 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu May 7 16:35:32 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu May 7 16:35:32 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu May 7 16:35:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu May 7 16:35:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu May 7 16:35:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu May 7 16:35:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu May 7 16:35:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu May 7 16:35:33 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Thu May 7 16:35:33 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Thu May 7 16:35:33 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Thu May 7 16:35:33 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu May 7 16:35:33 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Thu May 7 16:35:33 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Thu May 7 16:35:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Thu May 7 16:35:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu May 7 16:35:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu May 7 16:36:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu May 7 16:36:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu May 7 16:36:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu May 7 16:36:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu May 7 16:36:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu May 7 16:36:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu May 7 16:36:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu May 7 16:36:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu May 7 16:36:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu May 7 16:36:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu May 7 16:36:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Thu May 7 16:36:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Thu May 7 16:36:49 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Thu May 7 16:36:49 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu May 7 16:36:49 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Thu May 7 16:36:49 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Thu May 7 16:36:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Thu May 7 16:36:49 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu May 7 16:36:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Thu May 7 16:37:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Thu May 7 16:37:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Thu May 7 16:37:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Thu May 7 16:37:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Thu May 7 16:37:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Thu May 7 16:37:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Thu May 7 16:37:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Thu May 7 16:37:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Thu May 7 16:37:28 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Thu May 7 16:37:28 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Thu May 7 16:37:28 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Thu May 7 16:37:28 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Thu May 7 16:37:28 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Thu May 7 16:37:28 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Thu May 7 16:37:28 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Thu May 7 16:37:28 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Thu May 7 16:37:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat May 9 17:07:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat May 9 17:07:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat May 9 17:07:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat May 9 17:07:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat May 9 17:07:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat May 9 17:07:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat May 9 17:07:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat May 9 17:07:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat May 9 17:07:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat May 9 17:07:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat May 9 17:07:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat May 9 17:07:36 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat May 9 17:07:36 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat May 9 17:07:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat May 9 17:07:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat May 9 17:07:36 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat May 9 17:07:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat May 9 17:08:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat May 9 17:08:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat May 9 17:08:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat May 9 17:08:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat May 9 17:08:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat May 9 17:08:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat May 9 17:08:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat May 9 17:08:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat May 9 17:08:10 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat May 9 17:08:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat May 9 17:08:11 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat May 9 17:08:11 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat May 9 17:08:11 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat May 9 17:08:11 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat May 9 17:08:11 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat May 9 17:08:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat May 9 17:08:11 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat May 9 17:08:11 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat May 9 17:08:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat May 9 17:08:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat May 9 17:08:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat May 9 17:08:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat May 9 17:08:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat May 9 17:08:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat May 9 17:08:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat May 9 17:08:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat May 9 17:08:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat May 9 17:08:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat May 9 17:08:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat May 9 17:08:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat May 9 17:08:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat May 9 17:08:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat May 9 17:08:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat May 9 17:08:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat May 9 17:08:30 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat May 9 17:08:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat May 9 17:08:30 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat May 9 17:08:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat May 9 17:13:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat May 9 17:13:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat May 9 17:13:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat May 9 17:13:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat May 9 17:13:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat May 9 17:13:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat May 9 17:13:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat May 9 17:13:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat May 9 17:13:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat May 9 17:13:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat May 9 17:13:24 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat May 9 17:13:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat May 9 17:13:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat May 9 17:13:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat May 9 17:13:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat May 9 17:13:24 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat May 9 17:13:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat May 9 17:13:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat May 9 17:17:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat May 9 17:17:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat May 9 17:17:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat May 9 17:17:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat May 9 17:17:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat May 9 17:17:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat May 9 17:17:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat May 9 17:17:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat May 9 17:17:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat May 9 17:17:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat May 9 17:17:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat May 9 17:17:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat May 9 17:17:49 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat May 9 17:17:49 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat May 9 17:17:49 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat May 9 17:17:49 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat May 9 17:17:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat May 9 17:17:49 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat May 9 17:17:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat May 9 17:17:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat May 9 17:17:49 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat May 9 17:17:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat May 9 17:17:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat May 9 17:17:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat May 9 17:17:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat May 9 17:17:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat May 9 17:17:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat May 9 17:17:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat May 9 17:17:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat May 9 17:17:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat May 9 17:17:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat May 9 17:17:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat May 9 17:17:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat May 9 17:18:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat May 9 17:18:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat May 9 17:18:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat May 9 17:18:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat May 9 17:18:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat May 9 17:18:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat May 9 17:18:04 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat May 9 17:18:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat May 9 17:18:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat May 9 17:18:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat May 9 17:18:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat May 9 17:18:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat May 9 17:18:05 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat May 9 17:18:05 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat May 9 17:18:05 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat May 9 17:18:05 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat May 9 17:18:05 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat May 9 17:18:05 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat May 9 17:18:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat May 9 17:21:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat May 9 17:21:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat May 9 17:21:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat May 9 17:21:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat May 9 17:21:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat May 9 17:21:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat May 9 17:21:46 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat May 9 17:21:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat May 9 17:21:46 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat May 9 17:21:46 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat May 9 17:21:46 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat May 9 17:21:46 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat May 9 17:21:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat May 9 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat May 9 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat May 9 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat May 9 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat May 9 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat May 9 17:21:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat May 9 22:46:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat May 9 22:46:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat May 9 22:46:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat May 9 22:46:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat May 9 22:46:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat May 9 22:46:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat May 9 22:46:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat May 9 22:46:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat May 9 22:46:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat May 9 22:46:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat May 9 22:46:01 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat May 9 22:46:01 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat May 9 22:46:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat May 9 22:46:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat May 9 22:46:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat May 9 22:46:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat May 9 22:46:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat May 9 22:46:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat May 9 22:46:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat May 9 22:56:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat May 9 22:56:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat May 9 22:56:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat May 9 22:56:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat May 9 22:56:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat May 9 22:56:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat May 9 22:56:24 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat May 9 22:56:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat May 9 22:56:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat May 9 22:56:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat May 9 22:56:25 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat May 9 22:56:25 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat May 9 22:56:25 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat May 9 22:56:25 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat May 9 22:56:25 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat May 9 22:56:25 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat May 9 22:56:25 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat May 9 22:56:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat May 9 22:58:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat May 9 22:58:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat May 9 22:58:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat May 9 22:58:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat May 9 22:58:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat May 9 22:58:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat May 9 22:58:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat May 9 22:58:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat May 9 22:58:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat May 9 22:58:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat May 9 22:58:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat May 9 22:58:02 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat May 9 22:58:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat May 9 22:58:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat May 9 22:58:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat May 9 22:58:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat May 9 22:58:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat May 9 22:58:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat May 9 22:58:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat May 9 22:58:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat May 9 22:58:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat May 9 22:58:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat May 9 22:58:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat May 9 22:58:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat May 9 22:58:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat May 9 22:58:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat May 9 22:58:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat May 9 22:58:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat May 9 22:58:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat May 9 22:58:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat May 9 22:58:53 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat May 9 22:58:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat May 9 22:58:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat May 9 22:58:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat May 9 22:58:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat May 9 22:58:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat May 9 22:58:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat May 9 22:58:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 08:26:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 08:26:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 08:26:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 08:26:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 08:26:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 08:26:39 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 08:26:39 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 08:26:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 08:26:40 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 08:26:40 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 08:26:40 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 08:26:40 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 08:26:40 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 08:26:40 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 08:26:40 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 08:26:40 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 08:26:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 09:47:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 09:47:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 09:47:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 09:47:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 09:47:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 09:47:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 09:47:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 09:47:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 09:47:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 09:47:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 09:47:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 09:47:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 09:47:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 09:47:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 09:47:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 09:47:41 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 09:47:41 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 09:47:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 09:47:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 09:47:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 09:47:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 09:47:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 09:47:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 09:47:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 09:47:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 09:47:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 09:47:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 09:47:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 09:47:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 09:47:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 09:47:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 09:47:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 09:47:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 09:47:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 09:47:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 09:48:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 09:49:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 09:49:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 09:49:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 09:49:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 09:49:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 09:49:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 09:49:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 09:49:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 09:49:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 09:49:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 09:49:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 09:49:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 09:49:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 09:49:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 09:49:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 09:49:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 09:49:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 09:49:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 09:49:27 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 09:49:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 09:50:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 09:50:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 09:50:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 09:50:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 09:50:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 09:50:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 09:50:04 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 09:50:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 09:50:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 09:50:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 09:50:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 09:50:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 09:50:05 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 09:50:05 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 09:50:05 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 09:50:05 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 09:50:05 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 09:50:05 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 09:50:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 09:50:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 09:50:05 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 09:50:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 09:50:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 09:50:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 09:50:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 09:50:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 09:50:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 09:50:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 09:50:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 09:50:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 09:50:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 09:50:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 09:50:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 09:51:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 09:51:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 09:51:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 09:51:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 09:51:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 09:51:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 09:51:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 09:51:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 09:51:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 09:51:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 09:51:37 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 09:51:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 09:51:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 09:51:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 09:51:38 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 09:51:38 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 09:51:38 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 09:51:38 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 09:51:38 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 09:51:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 09:51:38 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 09:51:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 09:51:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 09:51:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 09:51:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 09:51:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 09:51:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 09:51:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 09:51:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 09:51:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 09:51:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 09:51:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 09:51:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 09:55:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 09:55:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 09:55:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 09:55:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 09:55:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 09:55:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 09:55:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 09:55:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 09:55:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 09:55:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 09:55:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 09:55:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 09:55:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 09:55:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 09:56:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 09:56:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 09:56:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 09:56:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 09:56:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 09:56:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 09:56:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 09:56:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 09:56:05 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 09:56:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 09:56:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 09:56:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 09:56:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 09:56:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 09:56:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 09:56:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 09:56:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 09:56:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 09:56:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 09:56:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 09:56:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 09:56:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 09:56:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 09:56:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 09:56:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 09:56:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 09:56:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 09:56:28 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 09:56:28 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 09:56:28 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 09:56:28 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 09:56:28 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 09:56:28 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 09:56:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 09:58:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 09:58:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 09:58:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 09:58:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 09:58:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 09:58:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 09:58:24 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 09:58:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 09:58:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 09:58:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 09:58:24 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 09:58:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 09:58:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 09:58:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 09:58:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 10:15:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 10:15:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 10:15:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 10:15:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 10:15:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 10:15:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 10:15:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 10:15:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 10:15:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 10:15:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 10:15:43 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 10:15:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 10:15:43 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 10:15:43 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 10:15:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 10:16:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 10:16:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 10:16:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 10:16:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 10:16:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 10:16:14 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 10:16:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 10:16:15 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 10:16:15 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 10:16:15 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 10:16:15 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 10:16:15 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 10:16:15 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 10:16:15 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 10:16:15 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 10:16:15 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 10:16:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 10:16:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 10:16:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 10:16:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 10:16:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 10:16:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 10:16:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 10:16:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 10:16:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 10:16:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 10:16:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 10:16:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 10:16:36 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 10:16:36 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 10:16:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 10:16:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 10:16:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 10:17:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 10:17:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 10:17:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 10:17:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 10:17:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 10:17:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 10:17:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 10:17:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 10:17:05 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 10:17:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 10:17:06 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 10:17:06 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 10:17:06 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 10:17:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 10:17:06 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 10:17:06 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 10:17:06 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 10:17:06 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 10:17:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun May 10 10:19:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun May 10 10:19:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun May 10 10:19:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun May 10 10:19:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun May 10 10:19:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun May 10 10:19:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun May 10 10:19:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun May 10 10:19:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun May 10 10:19:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun May 10 10:19:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun May 10 10:19:44 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun May 10 10:19:44 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun May 10 10:19:44 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun May 10 10:19:44 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun May 10 10:19:44 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun May 10 10:19:44 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun May 10 10:19:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun May 10 10:19:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun May 10 10:19:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 09:03:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 09:03:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 09:03:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 09:03:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 09:03:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 09:03:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 09:03:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 09:03:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 09:03:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 09:03:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 09:03:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 09:03:09 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 09:03:09 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 09:03:09 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 09:03:09 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 09:03:09 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 09:03:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 09:03:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 09:03:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 09:03:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 09:03:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 09:03:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 09:03:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 09:03:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 09:03:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 09:03:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 09:03:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 09:03:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 09:03:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 09:03:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 09:03:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 09:03:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 09:03:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 10:57:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 10:57:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 10:57:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 10:57:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 10:57:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 10:57:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 10:57:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 10:57:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 10:57:05 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 10:57:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 10:57:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 10:57:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 10:57:06 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 10:57:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 10:57:06 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 10:57:06 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 10:57:06 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 10:57:06 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 10:57:06 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 10:57:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 10:57:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 10:57:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 10:57:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 10:57:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 10:57:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 10:57:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 10:57:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 10:57:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 10:57:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 10:57:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 10:57:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 10:57:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 10:57:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 10:58:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 10:58:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 10:58:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 10:58:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 10:58:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 10:58:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 10:58:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 10:58:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 10:58:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 10:58:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 10:58:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 10:58:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 10:58:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 10:58:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 10:58:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 10:58:23 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 10:58:23 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 10:58:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 10:58:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 10:58:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 10:58:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 10:58:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 10:58:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 10:58:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 10:58:46 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 10:58:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 10:58:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 10:58:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 10:58:47 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 10:58:47 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 10:58:47 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 10:58:47 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 10:58:47 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 10:58:47 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 10:58:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 10:59:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 10:59:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 10:59:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 10:59:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 10:59:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 10:59:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 10:59:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 10:59:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 10:59:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 10:59:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 10:59:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 10:59:02 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 10:59:02 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 10:59:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 10:59:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 10:59:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 10:59:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 10:59:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 10:59:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 10:59:14 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 10:59:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 10:59:15 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 10:59:15 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 10:59:15 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 10:59:15 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 10:59:15 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 10:59:15 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 10:59:15 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 10:59:15 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 10:59:15 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 10:59:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 18:22:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 18:22:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 18:22:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 18:22:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 18:22:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 18:22:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 18:22:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 18:22:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 18:22:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 18:22:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 18:22:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 18:22:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 18:22:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 18:22:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 18:22:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 18:22:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 18:22:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 18:22:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:22:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:22:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:22:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:22:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:22:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:22:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:22:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:22:11 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:22:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:22:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:22:11 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:22:11 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:22:11 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:22:11 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:22:11 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:22:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:22:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:22:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:22:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:22:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:22:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:22:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:22:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:22:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:22:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:22:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:22:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:22:24 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:22:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:22:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:22:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:22:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:22:24 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:22:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:22:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:23:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:23:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:23:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:23:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:23:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:23:20 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:23:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:23:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:23:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:23:21 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:23:21 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:23:21 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:23:21 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:23:21 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:23:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:24:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:24:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:24:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:24:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:24:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:24:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:24:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:24:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:24:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:24:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:24:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:24:02 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:24:02 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:24:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:24:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:24:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:24:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:24:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:24:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:24:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:24:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:24:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:24:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:24:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:24:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:24:36 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:24:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:24:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:24:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:24:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:24:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:24:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:24:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:25:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:25:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:25:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:25:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:25:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:25:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:25:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:25:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:25:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:25:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:25:13 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:25:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:25:13 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:25:13 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:25:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:25:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:25:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:25:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:25:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:25:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:25:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:25:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:25:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:25:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:25:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:25:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:25:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:25:49 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:25:49 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:25:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:26:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:26:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:26:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:26:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:26:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:26:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:26:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:26:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:26:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:26:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:26:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:26:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:26:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:26:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:26:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:26:26 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:26:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:26:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:26:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:27:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:27:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:27:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:27:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:27:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:27:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:27:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:27:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:27:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:27:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:27:28 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:27:28 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:27:28 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:27:28 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:27:28 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:27:28 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:27:28 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:27:28 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:27:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:27:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:27:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:27:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:27:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:27:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:27:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:27:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:27:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:27:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:27:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:27:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:27:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:27:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:27:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:27:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:27:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:27:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:27:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:27:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:27:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:27:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:27:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:27:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:27:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:27:56 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:27:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:27:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:27:56 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:27:56 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:27:56 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:27:56 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:27:56 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:27:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:28:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:28:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:28:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:28:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:28:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:28:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:28:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:28:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:28:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:28:28 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:28:28 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:28:28 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:28:28 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:28:28 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:28:28 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:28:28 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:28:28 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:28:28 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:28:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:28:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:28:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:28:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:28:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:28:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:28:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:28:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:28:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:28:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:28:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:28:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:28:53 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:28:53 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:28:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:28:53 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:28:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:29:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:29:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:29:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:29:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:29:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:29:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:29:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:29:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:29:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:29:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:29:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:29:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:29:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:29:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:29:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:29:23 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:29:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:29:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:29:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:29:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:29:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:29:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:29:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:29:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:29:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:29:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:29:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:29:44 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:29:45 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:29:45 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:29:45 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:29:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:29:45 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:29:45 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:29:45 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:29:45 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:29:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:29:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:29:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:29:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:29:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:29:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:29:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:29:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:29:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:29:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:29:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:29:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:29:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:29:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:30:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:30:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:30:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:30:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:30:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:30:15 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:30:15 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:30:15 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:30:15 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:30:15 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:30:15 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:30:15 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:30:15 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:30:15 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:30:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:31:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:31:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:31:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:31:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:31:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:31:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:31:46 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:31:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:31:46 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:31:46 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:31:46 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:31:46 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:31:46 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:31:46 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:31:46 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:31:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:32:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:32:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:32:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:32:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:32:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:32:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:32:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:32:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:32:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:32:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:32:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:32:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:32:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:32:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:33:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:33:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:33:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:33:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:33:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:33:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:33:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:33:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:33:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:33:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:33:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:33:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:33:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:33:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:33:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:33:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:33:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:33:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:33:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:33:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:33:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:36:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:36:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:36:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:36:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:36:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:36:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:36:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:36:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:36:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:36:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:36:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:36:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:36:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:36:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:36:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:36:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:36:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:36:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:36:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:36:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:36:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:36:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:36:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:36:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:36:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:36:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:36:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:36:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:36:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:36:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:52:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:52:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:52:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:52:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:52:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:52:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:52:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:52:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:52:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:52:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:52:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:52:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:52:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:52:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:52:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:52:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:52:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:52:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:52:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:52:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:52:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:52:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:52:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:52:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:52:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:52:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:52:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:52:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:52:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:52:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:52:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:52:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:52:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:52:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:52:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:52:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:52:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:52:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:52:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:53:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:53:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:53:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:53:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:53:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:54:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:54:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:54:00 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:54:00 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:54:00 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:54:00 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:54:00 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:54:00 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:54:00 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:54:00 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:54:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:55:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:55:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:55:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:55:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:55:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:55:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:55:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:55:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:55:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:55:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:55:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:55:17 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:55:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:55:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:55:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:55:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:56:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:56:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:56:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:56:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:56:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:56:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:56:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:56:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:56:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:56:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:56:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:56:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:56:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:56:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:56:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:56:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:56:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:56:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:56:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:56:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:56:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:56:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:56:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:56:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:56:51 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:56:51 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:56:51 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:56:51 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:56:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:56:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:56:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:56:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:56:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:56:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:56:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 21:58:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 21:58:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 21:58:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 21:58:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 21:58:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 21:58:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 21:58:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 21:58:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 21:58:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 21:58:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 21:58:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 21:58:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 21:58:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 21:58:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 21:58:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 21:58:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 21:58:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 21:58:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 21:58:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 21:58:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 22:26:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 22:26:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 22:26:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 22:26:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 22:26:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 22:26:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 22:26:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 22:26:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 22:26:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 22:26:21 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 22:26:22 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 22:26:22 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 22:26:22 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 22:26:22 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 22:26:22 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 22:26:22 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 22:26:22 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 22:26:22 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 22:26:22 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 22:26:22 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 22:26:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 22:26:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 22:26:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 22:26:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 22:26:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 22:26:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 22:26:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 22:26:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 22:26:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 22:26:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 22:26:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 22:26:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 22:26:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 22:26:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 22:26:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 22:26:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 22:26:30 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 22:26:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 22:26:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed May 13 22:29:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed May 13 22:29:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed May 13 22:29:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed May 13 22:29:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed May 13 22:29:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed May 13 22:29:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed May 13 22:29:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed May 13 22:29:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed May 13 22:29:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed May 13 22:29:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed May 13 22:29:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed May 13 22:29:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed May 13 22:29:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed May 13 22:29:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed May 13 22:29:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed May 13 22:29:29 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed May 13 22:29:29 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed May 13 22:29:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed May 13 22:29:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 11:24:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 11:24:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 11:24:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 11:24:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 11:24:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 11:24:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 11:24:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 11:24:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 11:24:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 11:24:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 11:24:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 11:24:45 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 11:24:45 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 11:24:45 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 11:24:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 11:24:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 11:27:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 11:27:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 11:27:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 11:27:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 11:27:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 11:27:20 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 11:27:20 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 11:27:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 11:27:20 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 11:27:20 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 11:27:20 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 11:27:20 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 11:27:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 11:27:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 11:27:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 11:27:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 11:27:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 11:27:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 11:27:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 11:28:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 11:28:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 11:28:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 11:28:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 11:28:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 11:28:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 11:28:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 11:28:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 11:28:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 11:28:21 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 11:28:21 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 11:28:22 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 11:28:22 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 11:28:22 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 11:28:22 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 11:28:22 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 11:28:22 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 11:28:22 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 11:28:22 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 11:28:22 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 11:28:22 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 11:28:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 11:28:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 11:28:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 11:28:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 11:28:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 11:28:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 11:28:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 11:28:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 11:28:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 11:28:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 11:28:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 11:28:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 11:29:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 11:29:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 11:29:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 11:29:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 11:29:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 11:29:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 11:29:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 11:29:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 11:29:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 11:29:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 11:29:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 11:29:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 11:29:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 11:29:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 11:29:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 11:29:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 11:29:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 11:29:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 11:29:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 11:41:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 11:41:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 11:41:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 11:41:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 11:41:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 11:41:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 11:41:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 11:41:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 11:41:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 11:41:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 11:41:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 11:41:02 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 11:41:02 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 11:41:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 11:41:02 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 11:41:02 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 11:41:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 11:41:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 11:41:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 11:41:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 11:41:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 11:41:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 11:41:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 11:41:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 11:41:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 11:41:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 11:41:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 11:41:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 11:41:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 11:41:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 11:41:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 11:41:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 11:41:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 11:41:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 11:41:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 11:41:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 11:41:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 11:41:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 11:41:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 11:41:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 11:41:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 11:41:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 11:41:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 11:41:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 11:41:36 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 11:41:36 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 11:41:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 11:41:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 11:41:36 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 11:41:36 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 11:41:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 11:41:36 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 11:41:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 12:11:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 12:11:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 12:11:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 12:11:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 12:11:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 12:11:20 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 12:11:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 12:11:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 12:11:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 12:11:21 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 12:11:21 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 12:11:21 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 12:11:21 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 12:11:21 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 12:11:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 12:13:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 12:13:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 12:13:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 12:13:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 12:13:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 12:13:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 12:13:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 12:13:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 12:13:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 12:13:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 12:13:06 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 12:13:06 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 12:13:06 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 12:13:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 12:13:06 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 12:13:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 16:08:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 16:08:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 16:08:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 16:08:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 16:08:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 16:08:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 16:08:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 16:08:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 16:08:50 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 16:08:50 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 16:08:50 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 16:08:50 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 16:08:50 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 16:08:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 16:08:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 16:08:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 16:08:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 16:08:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 16:09:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 16:09:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 16:09:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 16:09:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 16:09:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 16:09:09 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 16:09:09 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 16:09:09 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 16:09:09 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 16:09:10 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 16:09:10 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 16:09:10 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 16:09:10 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 16:09:10 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 16:09:10 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 16:09:10 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 16:09:10 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 16:09:10 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 16:09:10 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 16:09:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 16:09:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 16:09:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 16:09:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 16:09:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 16:09:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 16:09:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 16:09:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 16:09:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 16:09:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 16:09:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 16:09:43 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 16:09:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 16:09:43 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 16:09:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 16:15:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 16:15:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 16:15:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 16:15:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 16:15:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 16:15:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 16:15:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 16:15:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 16:15:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 16:15:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 16:15:44 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 16:15:44 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 16:15:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 16:16:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 16:16:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 16:16:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 16:16:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 16:16:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 16:16:14 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 16:16:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 16:16:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 16:16:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 16:16:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 16:16:14 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 16:16:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 16:16:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 16:16:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 16:16:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 16:16:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 16:16:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 16:16:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 16:16:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 16:16:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 16:16:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 16:16:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 16:16:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 16:16:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 16:16:38 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 16:16:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 16:16:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 16:16:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 16:16:38 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 16:16:38 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 16:16:38 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 16:16:38 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 16:16:38 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 16:16:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 16:16:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 16:16:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 16:16:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 16:16:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 16:16:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 16:16:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 16:16:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 16:16:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 16:16:55 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 16:16:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 16:16:56 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 16:16:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 16:16:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 16:16:56 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 16:16:56 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 16:16:56 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 16:16:56 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 16:16:56 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 16:16:56 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 16:16:56 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 16:16:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 16:16:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 16:16:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 16:16:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 16:16:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 16:16:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 16:16:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 16:16:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 16:16:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 16:16:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 16:16:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 16:16:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 16:16:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 16:23:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 16:23:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 16:23:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 16:23:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 16:23:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 16:23:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 16:23:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 16:23:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 16:23:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 16:23:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 16:23:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 16:23:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 16:23:49 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 16:23:49 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 16:23:49 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 16:23:49 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 16:23:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 16:23:49 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 16:23:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 16:23:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 16:23:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 16:23:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 16:23:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 16:23:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 16:23:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 16:23:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 16:23:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 16:23:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 16:23:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 16:23:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 16:23:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 16:23:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 16:23:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 16:23:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 16:23:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 16:23:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 16:23:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 16:23:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 16:24:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 16:32:15 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 16:32:15 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 16:32:15 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 16:32:15 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 16:32:15 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 16:32:15 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 16:32:15 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 16:32:15 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 16:32:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 16:32:16 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 16:32:16 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 16:32:16 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 16:32:16 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 16:32:16 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 16:32:16 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 16:32:16 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 16:32:16 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 16:32:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 16:32:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 16:32:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 16:32:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 16:32:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 16:32:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 16:32:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 16:32:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 16:32:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 16:32:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 16:32:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 16:32:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 16:32:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 16:32:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 16:32:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 16:32:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 16:32:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 16:32:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 16:32:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 16:33:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 16:33:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 16:33:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 16:33:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 16:33:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 16:33:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 16:33:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 16:33:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 16:33:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 16:33:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 16:33:14 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 16:33:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 16:33:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 16:33:14 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 16:33:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 16:33:14 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 16:33:14 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 16:33:14 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 16:33:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 17:17:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 17:17:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 17:17:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 17:17:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 17:17:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 17:17:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 17:17:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 17:17:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 17:17:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 17:17:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 17:17:56 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 17:17:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 17:17:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 17:17:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 17:39:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 17:39:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 17:39:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 17:39:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 17:39:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 17:39:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 17:39:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 17:39:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 17:39:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 17:39:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 17:39:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 17:39:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 17:39:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 17:39:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 17:39:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 17:39:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 17:39:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 17:39:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 17:39:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 17:39:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 17:39:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 17:39:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 17:39:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 17:39:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 17:39:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 17:39:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 17:39:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 17:39:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 17:39:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 17:39:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 17:39:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 17:39:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 17:39:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 17:40:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 17:40:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 17:40:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 17:40:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 17:40:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 17:40:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 17:40:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 17:40:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 17:40:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 17:40:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 17:40:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 17:40:20 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 17:40:20 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 17:40:20 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 17:40:20 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 17:40:20 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 17:40:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 17:40:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 17:40:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 17:40:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 17:40:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 17:40:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 17:40:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 17:40:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 17:40:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 17:40:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 17:40:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 17:40:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 17:40:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 17:40:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 17:40:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 17:40:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 17:40:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 17:40:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 17:40:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 17:40:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 17:40:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 17:40:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 17:40:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 17:40:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 17:40:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 17:40:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 17:40:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 17:40:58 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 17:40:58 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 17:40:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 17:40:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 17:40:58 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 17:40:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 17:41:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 17:41:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 17:41:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 17:41:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 17:41:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 17:41:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 17:41:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 17:41:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 17:41:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 17:41:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 17:41:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 17:41:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 17:41:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 17:41:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 17:41:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 17:42:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 17:42:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 17:42:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 17:42:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 17:42:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 17:42:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 17:42:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 17:42:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 17:42:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 17:42:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 17:42:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 17:42:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 17:42:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 17:42:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 17:42:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 17:42:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 17:43:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 17:43:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 17:43:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 17:43:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 17:43:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 17:43:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 17:43:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 17:43:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 17:43:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 17:43:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 17:43:38 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 17:43:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 17:43:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 17:43:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 17:43:38 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 17:43:38 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 17:43:38 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 17:43:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 17:43:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 17:43:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 17:43:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 17:43:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 17:43:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 17:43:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 17:43:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 17:43:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 17:43:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 17:43:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 17:43:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 17:43:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 17:43:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 17:43:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 17:43:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 17:43:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 17:43:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 17:44:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 17:44:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 17:44:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 17:44:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 17:44:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 17:44:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 17:44:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 17:44:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 17:44:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 17:44:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 17:44:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 17:44:37 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 17:44:37 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 17:44:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 17:44:37 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 17:44:37 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 17:44:37 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 17:44:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 17:44:37 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 17:44:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 17:45:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 17:45:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 17:45:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 17:45:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 17:45:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 17:45:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 17:45:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 17:45:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 17:45:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 17:45:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 17:45:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 17:45:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 17:45:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 17:45:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 17:45:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 17:45:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 17:49:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 17:49:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 17:49:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 17:49:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 17:49:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 17:49:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 17:49:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 17:49:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 17:49:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 17:49:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 17:49:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 17:49:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 17:49:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 17:49:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 17:49:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 17:49:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 17:49:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 17:49:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 17:49:27 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 17:49:27 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 17:49:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:39:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:39:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:39:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:39:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:39:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:39:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:39:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:39:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:39:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:39:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:39:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:39:37 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:39:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:39:37 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:39:37 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:39:37 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:39:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:39:37 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:39:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:39:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:39:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:39:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:39:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:39:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:39:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:39:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:39:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:39:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:39:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:39:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:39:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:39:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:39:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:40:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:40:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:40:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:40:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:40:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:40:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:40:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:40:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:40:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:40:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:40:01 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:40:01 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:40:01 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:40:01 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:40:01 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:40:01 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:40:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:40:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:40:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:40:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:40:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:40:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:40:38 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:40:38 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:40:38 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:40:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:40:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:40:38 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:40:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:40:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:40:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:40:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:42:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:42:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:42:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:42:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:42:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:42:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:42:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:42:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:42:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:42:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:42:13 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:42:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:42:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:42:14 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:42:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:42:14 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:42:14 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:42:14 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:42:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:42:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:42:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:42:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:42:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:42:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:42:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:42:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:42:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:42:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:42:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:42:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:42:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:42:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:42:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:42:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:42:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:42:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:42:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:42:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:42:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:42:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:42:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:42:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:42:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:42:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:42:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:42:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:42:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:42:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:44:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:44:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:44:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:44:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:44:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:44:14 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:44:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:44:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:44:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:44:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:44:14 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:44:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:44:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:44:14 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:44:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:44:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:44:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:44:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:44:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:44:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:44:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:44:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:44:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:44:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:44:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:44:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:44:31 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:44:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:44:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:44:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:44:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:44:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:44:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:44:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:44:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:44:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:44:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:44:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:44:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:44:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:44:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:44:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:44:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:44:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:44:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:44:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:44:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:44:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:44:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:46:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:46:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:46:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:46:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:46:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:46:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:46:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:46:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:46:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:46:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:46:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:46:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:46:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:46:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:46:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:46:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:46:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:46:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:46:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:46:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:46:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:46:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:46:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:46:52 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:46:52 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:46:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:46:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:46:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:46:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:46:53 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:46:53 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:46:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:46:53 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:46:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:47:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:47:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:47:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:47:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:47:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:47:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:47:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:47:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:47:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:47:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:47:46 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:47:46 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:47:46 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:47:46 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:47:46 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:47:46 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:47:46 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:47:46 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:47:46 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:47:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:48:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:48:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:48:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:48:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:48:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:48:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:48:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:48:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:48:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:48:42 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:48:42 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:48:42 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:48:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:48:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:48:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:48:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:48:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:48:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:48:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:50:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:50:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:50:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:50:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:50:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:50:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:50:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:50:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:50:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:50:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:50:34 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:50:34 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:50:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:50:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:50:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:50:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:50:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:50:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:50:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:51:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:51:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:51:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:51:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:51:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:51:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:51:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:51:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:51:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:51:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:51:43 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:51:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:51:43 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:51:43 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:51:43 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:51:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:54:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:54:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:54:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:54:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:54:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:54:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:54:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:54:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:54:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:54:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:54:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:54:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:54:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:54:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:54:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:54:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:54:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:54:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:54:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 18:57:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 18:57:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 18:57:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 18:57:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 18:57:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 18:57:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 18:57:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 18:57:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 18:57:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 18:57:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 18:57:01 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 18:57:01 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 18:57:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 18:57:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 18:57:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 18:57:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 18:57:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 18:57:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 18:57:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 19:04:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 19:04:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 19:04:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 19:04:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 19:04:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 19:04:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 19:04:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 19:04:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 19:04:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 19:04:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 19:04:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 19:04:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 19:04:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 19:04:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 19:42:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 19:42:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 19:42:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 19:42:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 19:42:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 19:42:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 19:42:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 19:42:00 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 19:42:00 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 19:42:00 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 19:42:00 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 19:42:01 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 19:42:01 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 19:42:01 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 19:42:01 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 19:42:01 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 19:42:01 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 19:42:01 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 19:42:01 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 19:42:01 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 19:42:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 19:42:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 19:42:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 19:42:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 19:42:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 19:42:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 19:42:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 19:42:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 19:42:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 19:42:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 19:42:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 19:42:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 19:42:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 19:43:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 19:43:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 19:43:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 19:43:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 19:43:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 19:43:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 19:43:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 19:43:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 19:43:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 19:43:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 19:43:58 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 19:43:58 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 19:43:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 19:43:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 19:43:58 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 19:43:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 19:45:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 19:45:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 19:45:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 19:45:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 19:45:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 19:45:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 19:45:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 19:45:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 19:45:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 19:45:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 19:45:37 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 19:45:37 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 19:45:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 19:45:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 19:45:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 19:45:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 19:45:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 19:45:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 19:45:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 20:03:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 20:03:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 20:03:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 20:03:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 20:03:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 20:03:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 20:03:24 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 20:03:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 20:03:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 20:03:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 20:03:25 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 20:03:25 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 20:03:25 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 20:03:25 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 20:03:25 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 20:03:25 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 20:03:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 20:06:32 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 20:06:32 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 20:06:32 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 20:06:32 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 20:06:32 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 20:06:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 20:06:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 20:06:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 20:06:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 20:06:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 20:06:33 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 20:06:33 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 20:06:33 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 20:06:33 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 20:06:33 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 20:06:33 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 20:06:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 20:06:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 20:07:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 20:07:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 20:07:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 20:07:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 20:07:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 20:07:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 20:07:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 20:07:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 20:07:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 20:07:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 20:07:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 20:07:02 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 20:07:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 20:07:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 20:07:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 20:07:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 20:07:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 20:07:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 20:07:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 20:40:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 20:40:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 20:40:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 20:40:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 20:40:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 20:40:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 20:40:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 20:40:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 20:40:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 20:40:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 20:40:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 20:40:48 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 20:40:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 20:40:48 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 20:40:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 20:40:48 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 20:40:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 20:40:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 20:40:48 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 20:41:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 20:41:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 20:41:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 20:41:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 20:41:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 20:41:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 20:41:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 20:41:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 20:41:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 20:41:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 20:41:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 20:41:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 20:41:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 20:41:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 20:41:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 20:41:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 20:41:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 20:41:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 20:41:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 20:41:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 20:41:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 20:41:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 20:41:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 20:41:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 20:41:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 20:41:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 20:41:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 20:41:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 20:41:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 20:41:41 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 20:41:41 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 20:41:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 20:44:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 20:44:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 20:44:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 20:44:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 20:44:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 20:44:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 20:44:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 20:44:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 20:44:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 20:44:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 20:44:06 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 20:44:06 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 20:44:06 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 20:44:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 20:44:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 20:44:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 20:44:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 20:44:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 20:44:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 20:44:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 20:44:14 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 20:44:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 20:44:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 20:44:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 20:44:15 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 20:44:15 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 20:44:15 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 20:44:15 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 20:44:15 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 20:44:15 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 20:44:15 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 20:44:15 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 20:44:15 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 20:44:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 20:45:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 20:45:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 20:45:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 20:45:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 20:45:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 20:45:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 20:45:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 20:45:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 20:45:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 20:45:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 20:45:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 20:45:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 20:45:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 20:45:08 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 20:45:08 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 20:45:08 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 20:45:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 20:45:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 20:45:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 20:45:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 20:45:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 20:45:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 20:45:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 20:45:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 20:45:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 20:45:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 20:45:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 20:45:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 20:45:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 20:45:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 20:45:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 20:45:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 20:45:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 20:45:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 20:45:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 20:45:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 20:45:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 20:45:18 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 20:45:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 20:45:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 20:45:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 20:45:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 20:45:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 20:45:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 20:45:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 20:45:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 20:45:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 20:45:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 20:45:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 20:45:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 22:10:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 22:10:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 22:10:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 22:10:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 22:10:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 22:10:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 22:10:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 22:10:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 22:10:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 22:10:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 22:10:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 22:10:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 22:10:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 22:10:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 22:10:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 22:10:30 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 22:10:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 22:10:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 22:12:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 22:12:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 22:12:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 22:12:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 22:12:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 22:12:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 22:12:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 22:12:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 22:12:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 22:12:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 22:12:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 22:12:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 22:12:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 22:12:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 22:12:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 22:12:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 22:12:19 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 22:12:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 22:12:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 22:12:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 22:12:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 22:12:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 22:12:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 22:12:38 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 22:12:38 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 22:12:38 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 22:12:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 22:12:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 22:12:38 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 22:12:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 22:12:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 22:12:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 22:12:38 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 22:12:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 22:13:11 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 22:13:11 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 22:13:11 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 22:13:11 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 22:13:11 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 22:13:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 22:13:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 22:13:11 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 22:13:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 22:13:12 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 22:13:12 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 22:13:12 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 22:13:12 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 22:13:12 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 22:13:12 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 22:13:12 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 22:13:12 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 22:13:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 22:21:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 22:21:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 22:21:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 22:21:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 22:21:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 22:21:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 22:21:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 22:21:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 22:21:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 22:21:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 22:21:44 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 22:21:44 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 22:21:44 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 22:21:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 22:21:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 22:21:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 22:21:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 22:21:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 22:21:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 22:21:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 22:35:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 22:35:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 22:35:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 22:35:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 22:35:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 22:35:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 22:35:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 22:35:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 22:35:51 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 22:35:51 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 22:35:51 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 22:35:51 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 22:35:51 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 22:35:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 22:36:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 22:36:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 22:36:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 22:36:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 22:36:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 22:36:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 22:36:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 22:36:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 22:36:05 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 22:36:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 22:36:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 22:36:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 22:36:05 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 22:36:05 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 22:36:05 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 22:36:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon May 25 22:37:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon May 25 22:37:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon May 25 22:37:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon May 25 22:37:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon May 25 22:37:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon May 25 22:37:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon May 25 22:37:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon May 25 22:37:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon May 25 22:37:05 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon May 25 22:37:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon May 25 22:37:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon May 25 22:37:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon May 25 22:37:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon May 25 22:37:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon May 25 22:37:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon May 25 22:37:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon May 25 22:37:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon May 25 22:37:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon May 25 22:37:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 19:59:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 19:59:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 19:59:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 19:59:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 19:59:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 19:59:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 19:59:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 19:59:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 19:59:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 19:59:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 19:59:35 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 19:59:35 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 19:59:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 19:59:35 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 19:59:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 20:00:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 20:00:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 20:00:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 20:00:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 20:00:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 20:00:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 20:00:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 20:00:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 20:00:10 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 20:00:10 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 20:00:10 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 20:00:10 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 20:00:10 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 20:00:10 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 20:00:10 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 20:00:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 20:01:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 20:01:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 20:01:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 20:01:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 20:01:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 20:01:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 20:01:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 20:01:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 20:01:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 20:01:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 20:01:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 20:01:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 20:01:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 20:01:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 20:01:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 20:01:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 20:01:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 20:01:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 20:01:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 20:01:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 20:01:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 20:01:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 20:01:28 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 20:01:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 20:01:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 20:01:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 20:01:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 20:01:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 20:01:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 20:01:29 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 20:01:29 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 20:01:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 20:01:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 20:01:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 20:01:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 20:01:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 20:01:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 20:01:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 20:01:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 20:01:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 20:01:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 20:01:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 20:01:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 20:01:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 20:01:55 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 20:01:55 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 20:01:55 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 20:01:55 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 20:01:55 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 20:01:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 20:01:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 20:01:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 20:01:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 20:01:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 20:07:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 20:07:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 20:07:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 20:07:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 20:07:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 20:07:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 20:07:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 20:07:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 20:07:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 20:07:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 20:07:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 20:07:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 20:07:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 20:07:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 20:07:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 20:07:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 20:07:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 20:07:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 20:07:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 20:07:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 20:07:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 20:07:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 20:07:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 20:07:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 20:07:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 20:07:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 20:07:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 20:07:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 20:07:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 20:07:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 20:07:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 20:07:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 20:07:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 20:07:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 20:07:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 20:07:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 20:07:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 20:07:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 20:07:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 20:07:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 20:07:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 20:09:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 20:09:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 20:09:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 20:09:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 20:09:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 20:09:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 20:09:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 20:09:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 20:09:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 20:09:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 20:09:22 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 20:09:22 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 20:09:22 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 20:09:22 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 20:09:22 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 20:09:22 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 20:09:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 20:09:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 20:09:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 20:09:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 20:09:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 20:09:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 20:09:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 20:09:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 20:09:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 20:09:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 20:09:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 20:09:31 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 20:09:31 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 20:09:31 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 20:09:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 20:09:31 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 20:09:31 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 20:09:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 20:09:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 20:15:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 20:15:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 20:15:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 20:15:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 20:15:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 20:15:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 20:15:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 20:15:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 20:15:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 20:15:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 20:15:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 20:15:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 20:15:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 20:15:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 20:15:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 20:15:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 20:15:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 20:15:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 20:15:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 20:15:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 20:15:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:16:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:16:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:16:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:16:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:16:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:16:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:16:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:16:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:16:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:16:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:16:14 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:16:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:16:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:16:14 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:16:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:16:14 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:16:14 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:16:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:17:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:17:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:17:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:17:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:17:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:17:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:17:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:17:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:17:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:17:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:17:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:17:45 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:17:45 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:17:45 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:17:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:17:45 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:17:45 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:17:45 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:17:45 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:17:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:18:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:18:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:18:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:18:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:18:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:18:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:18:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:18:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:18:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:18:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:18:31 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:18:31 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:18:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:18:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:18:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:18:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:18:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:18:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:18:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:19:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:19:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:19:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:19:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:19:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:19:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:19:24 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:19:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:19:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:19:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:19:24 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:19:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:19:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:19:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:19:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:19:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:19:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:19:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:19:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:19:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:19:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:19:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:19:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:19:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:19:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:19:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:19:58 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:19:58 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:19:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:19:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:20:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:20:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:20:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:20:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:20:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:20:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:20:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:20:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:20:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:20:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:20:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:20:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:20:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:20:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:20:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:20:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:24:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:24:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:24:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:24:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:24:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:24:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:24:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:24:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:24:10 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:24:10 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:24:10 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:24:10 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:24:10 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:24:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:24:12 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.1064456870e+05 0.00e+00 1.15e+02 1.000000e+00 1.000000e+00 6 4.4362503523e-01 -2.83e-09 1.15e-04 2.249968e-03 -1.295737e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.443625 rel. change during last iteration : -2.82796e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.161541 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0260956 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00224997 +/- 0.0005679 (25.24%) b = -0.129574 +/- 0.09272 (71.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.917 1.000 ******************************************************************************* Tue May 26 21:24:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:24:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:24:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:24:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:24:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:24:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:24:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:24:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:24:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:24:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:24:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:24:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:24:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:24:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:24:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:24:57 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:24:57 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:24:57 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:24:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:24:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.1064456870e+05 0.00e+00 1.15e+02 1.000000e+00 1.000000e+00 6 4.4362503523e-01 -2.83e-09 1.15e-04 2.249968e-03 -1.295737e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.443625 rel. change during last iteration : -2.82796e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.161541 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0260956 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00224997 +/- 0.0005679 (25.24%) b = -0.129574 +/- 0.09272 (71.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.917 1.000 ******************************************************************************* Tue May 26 21:26:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:26:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:26:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:26:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:26:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:26:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:26:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:26:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:26:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:26:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:26:22 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:26:22 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:26:22 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:26:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:26:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:26:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:26:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:26:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:26:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:26:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:26:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:26:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:26:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:26:55 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:26:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:26:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:26:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:26:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:26:56 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:26:56 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:26:56 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:26:56 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:26:56 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:26:56 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:26:56 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:26:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:26:57 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:27:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:27:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:27:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:27:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:27:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:27:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:27:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:27:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:27:28 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:27:28 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:27:28 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:27:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:27:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:27:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:27:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:27:29 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:27:29 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:27:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:27:29 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:27:29 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:27:29 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:27:30 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:29:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:29:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:29:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:29:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:29:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:29:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:29:16 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:29:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:29:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:29:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:29:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:29:17 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:29:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:29:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:29:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:29:17 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:29:17 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:29:17 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:29:17 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:29:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values ******************************************************************************* Tue May 26 21:29:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:29:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:29:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:29:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:29:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:29:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:29:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:29:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:29:40 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:29:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:29:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:29:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:29:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:29:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:29:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:29:41 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:29:41 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:29:41 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:29:42 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values ******************************************************************************* Tue May 26 21:30:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:30:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:30:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:30:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:30:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:30:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:30:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:30:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:30:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:30:28 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:30:28 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:30:28 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:30:28 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:30:28 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:30:28 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:30:28 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:30:28 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:30:29 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.2896741340e+06 0.00e+00 1.02e+02 1.000000e+00 1.000000e+00 5 2.2251681293e-01 -3.34e-03 1.02e-03 3.168535e-03 1.910985e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -3.34149e-08 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00316854 +/- 9.805e-05 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 21:31:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:31:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:31:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:31:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:31:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:31:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:31:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:31:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:31:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:31:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:31:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:31:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:31:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:31:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:31:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:31:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:31:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.2896741340e+06 0.00e+00 1.02e+02 1.000000e+00 1.000000e+00 5 2.2251681293e-01 -3.34e-03 1.02e-03 3.168535e-03 1.910985e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -3.34149e-08 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00316854 +/- 9.805e-05 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 21:31:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:31:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:31:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:31:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:31:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:31:50 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:31:50 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:31:50 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:31:50 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:31:51 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:31:51 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:31:51 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:31:51 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:31:51 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:31:51 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:31:51 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:31:51 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:31:51 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:31:51 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:31:52 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.2896741340e+06 0.00e+00 1.02e+02 1.000000e+00 1.000000e+00 5 2.2251681293e-01 -3.34e-03 1.02e-03 3.168535e-03 1.910985e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -3.34149e-08 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00316854 +/- 9.805e-05 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 21:32:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:32:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:32:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:32:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:32:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:32:59 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:32:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:32:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:32:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:32:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:33:00 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:33:00 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:33:00 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:33:00 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:33:00 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:33:00 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:33:00 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:33:00 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:33:00 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:33:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:33:01 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.2896741340e+06 0.00e+00 1.02e+02 1.000000e+00 1.000000e+00 5 2.2251681293e-01 -3.34e-03 1.02e-03 3.168535e-03 1.910985e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -3.34149e-08 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00316854 +/- 9.805e-05 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 21:33:11 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:33:11 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:33:11 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:33:11 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:33:11 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:33:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:33:12 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:33:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:33:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:33:12 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:33:12 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:33:12 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:33:12 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:33:12 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:33:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:33:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:33:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.2896741340e+06 0.00e+00 1.02e+02 1.000000e+00 1.000000e+00 5 2.2251681293e-01 -3.34e-03 1.02e-03 3.168535e-03 1.910985e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -3.34149e-08 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00316854 +/- 9.805e-05 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 21:35:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:35:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:35:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:35:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:35:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:35:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:35:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:35:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:35:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:35:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:35:58 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:35:58 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:35:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:35:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:35:58 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:35:58 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:35:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:35:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:35:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:35:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:35:59 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.2896741340e+06 0.00e+00 1.02e+02 1.000000e+00 1.000000e+00 5 2.2251681293e-01 -3.34e-03 1.02e-03 3.168535e-03 1.910985e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -3.34149e-08 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00316854 +/- 9.805e-05 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 21:36:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:36:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:36:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:36:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:36:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:36:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:36:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:36:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:36:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:36:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:36:54 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:36:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:36:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:36:54 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:36:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:36:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:36:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.2896741340e+06 0.00e+00 1.02e+02 1.000000e+00 1.000000e+00 5 2.2251681293e-01 -3.34e-03 1.02e-03 3.168535e-03 1.910985e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -3.34149e-08 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00316854 +/- 9.805e-05 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 21:44:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:44:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:44:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:44:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:44:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:44:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:44:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:44:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:44:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:44:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:44:11 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:44:11 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:44:11 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:44:11 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:44:11 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:44:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:44:11 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:44:11 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.4045083522e+05 0.00e+00 1.10e+02 1.000000e+00 1.000000e+00 6 3.5022580958e-05 -2.60e-05 1.10e-04 1.177136e-03 -8.628364e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -2.6001e-10 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00117714 +/- 5.721e-06 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:44:12 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.2896741340e+06 0.00e+00 1.02e+02 1.000000e+00 1.000000e+00 5 2.2251681293e-01 -3.34e-03 1.02e-03 3.168535e-03 1.910985e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -3.34149e-08 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00316854 +/- 9.805e-05 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 21:45:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:45:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:45:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:45:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:45:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:45:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:45:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:45:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:45:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:45:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:45:31 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:45:31 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:45:31 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:45:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:45:31 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:45:31 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:45:32 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.2896741340e+06 0.00e+00 1.02e+02 1.000000e+00 1.000000e+00 5 2.2251681293e-01 -3.34e-03 1.02e-03 3.168535e-03 1.910985e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -3.34149e-08 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00316854 +/- 9.805e-05 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 21:46:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 21:46:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 21:46:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 21:46:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 21:46:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 21:46:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 21:46:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 21:46:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 21:46:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 21:46:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 21:46:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 21:46:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 21:46:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 21:46:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 21:46:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 21:46:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 21:46:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 21:46:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:06:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:06:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:06:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:06:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:06:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:06:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:06:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:06:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:06:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:06:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:06:01 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:06:02 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:06:02 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:06:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:06:02 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:06:02 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:06:02 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:06:02 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:06:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:06:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:06:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:06:03 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue May 26 22:06:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:06:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:06:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:06:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:06:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:06:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:06:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:06:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:06:51 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:06:52 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:06:52 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:06:52 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:06:52 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:06:52 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:06:52 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:06:52 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:06:52 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:06:52 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:06:52 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:06:53 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue May 26 22:07:11 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:07:11 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:07:11 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:07:11 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:07:11 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:07:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:07:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:07:11 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:07:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:07:12 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:07:12 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:07:12 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:07:12 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:07:12 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:07:12 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:07:12 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:07:12 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:07:12 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:07:12 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:07:13 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue May 26 22:07:38 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:07:38 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:07:38 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:07:38 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:07:38 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:07:38 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:07:38 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:07:38 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:07:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:07:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:07:39 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:07:39 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:07:39 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:07:39 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:07:39 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:07:39 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:07:39 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:07:39 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:07:39 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:07:39 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:07:39 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:07:40 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue May 26 22:07:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:07:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:07:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:07:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:07:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:07:52 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:07:52 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:07:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:07:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:07:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:07:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:07:53 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:07:53 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:07:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:07:53 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:07:53 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:07:54 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue May 26 22:08:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:08:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:08:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:08:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:08:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:08:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:08:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:08:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:08:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:08:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:08:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:08:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:08:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:08:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:08:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:08:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:08:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:08:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:08:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:08:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:08:18 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:08:19 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue May 26 22:08:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:08:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:08:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:08:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:08:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:08:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:08:33 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:08:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:08:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:08:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:08:34 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:08:34 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:08:34 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:08:34 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:08:34 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:08:34 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:08:35 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue May 26 22:08:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:08:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:08:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:08:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:08:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:08:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:08:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:08:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:08:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:08:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:08:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:08:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:08:49 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:08:49 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:08:49 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:08:49 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:08:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:08:49 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:08:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:08:50 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue May 26 22:09:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:09:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:09:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:09:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:09:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:09:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:09:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:09:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:09:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:09:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:09:06 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:09:06 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:09:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:09:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:09:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:09:08 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue May 26 22:09:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:09:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:09:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:09:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:09:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:09:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:09:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:09:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:09:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:09:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:09:25 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:09:25 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:09:25 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:09:25 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:09:25 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:09:25 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:09:26 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue May 26 22:10:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:10:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:10:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:10:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:10:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:10:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:10:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:10:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:10:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:10:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:10:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:10:02 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:10:02 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:10:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:10:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:10:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:10:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:10:04 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue May 26 22:11:38 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:11:38 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:11:38 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:11:38 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:11:38 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:11:38 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:11:39 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:11:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:11:39 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:11:39 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:11:39 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:11:39 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:11:39 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:11:39 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:11:39 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:11:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:11:41 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:11:41 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:11:41 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue May 26 22:14:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue May 26 22:14:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue May 26 22:14:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue May 26 22:14:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue May 26 22:14:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue May 26 22:14:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue May 26 22:14:42 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue May 26 22:14:42 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue May 26 22:14:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue May 26 22:14:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue May 26 22:14:43 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue May 26 22:14:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue May 26 22:14:43 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue May 26 22:14:43 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue May 26 22:14:43 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue May 26 22:14:43 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue May 26 22:14:43 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue May 26 22:14:43 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue May 26 22:14:44 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 13:21:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 13:21:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 13:21:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 13:21:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 13:21:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 13:21:03 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 13:21:03 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 13:21:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 13:21:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 13:21:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 13:21:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 13:21:04 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 13:21:04 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 13:21:04 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 13:21:04 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 13:21:04 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 13:21:04 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 13:21:04 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 13:21:04 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 13:21:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 13:21:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 13:21:05 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 13:21:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 13:21:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 13:21:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 13:21:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 13:21:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 13:21:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 13:21:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 13:21:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 13:21:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 13:21:46 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 13:21:46 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 13:21:46 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 13:21:46 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 13:21:46 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 13:21:46 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 13:21:46 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 13:21:46 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 13:21:46 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 13:21:46 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 13:21:47 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 13:23:32 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 13:23:32 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 13:23:32 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 13:23:32 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 13:23:32 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 13:23:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 13:23:33 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 13:23:33 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 13:23:33 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 13:23:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 13:23:33 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 13:23:33 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 13:23:33 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 13:23:33 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 13:23:33 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 13:23:34 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 13:23:35 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 14:24:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 14:24:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 14:24:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 14:24:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 14:24:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 14:24:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 14:24:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 14:24:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 14:24:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 14:24:21 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 14:24:21 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 14:24:21 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 14:24:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 14:24:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 14:24:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 14:24:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 14:24:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 14:24:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 14:24:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 14:24:23 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 14:24:23 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 14:24:23 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 14:24:23 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 14:24:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 14:24:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 14:24:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 14:24:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 14:24:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 14:24:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 14:24:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 14:24:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 14:24:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 14:24:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 14:24:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 14:24:48 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 14:24:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 14:24:48 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 14:24:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 14:24:48 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 14:24:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 14:24:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 14:24:49 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 14:36:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 14:36:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 14:36:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 14:36:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 14:36:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 14:36:59 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 14:36:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 14:37:00 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 14:37:00 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 14:37:00 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 14:37:00 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 14:37:00 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 14:37:00 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 14:37:00 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 14:37:00 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 14:37:01 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 14:47:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 14:47:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 14:47:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 14:47:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 14:47:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 14:47:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 14:47:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 14:47:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 14:47:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 14:47:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 14:47:34 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 14:47:34 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 14:47:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 14:47:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 14:47:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 14:47:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 14:47:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 14:47:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 14:47:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 14:47:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 14:47:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 14:47:36 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 14:47:36 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 14:47:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 14:47:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 14:47:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 14:47:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 14:47:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 14:47:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 14:47:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 14:47:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 14:47:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 14:47:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 14:47:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 14:47:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 14:47:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 14:47:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 14:47:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 14:47:57 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 14:47:57 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 14:47:57 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 14:47:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 14:47:58 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 14:56:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 14:56:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 14:56:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 14:56:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 14:56:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 14:56:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 14:56:33 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 14:56:33 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 14:56:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 14:56:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 14:56:34 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 14:56:34 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 14:56:34 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 14:56:34 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 14:56:34 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 14:56:34 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 14:56:35 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 16:48:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 16:48:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 16:48:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 16:48:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 16:48:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 16:48:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 16:48:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 16:48:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 16:48:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 16:48:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 16:48:35 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 16:48:35 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 16:48:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 16:48:37 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 16:48:37 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 16:48:37 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 16:48:37 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 16:49:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 16:49:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 16:49:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 16:49:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 16:49:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 16:49:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 16:49:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 16:49:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 16:49:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 16:49:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 16:49:25 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 16:49:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 16:49:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 16:49:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 16:49:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 16:49:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 16:49:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 16:49:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 16:49:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 16:49:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 16:49:27 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 16:49:27 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 16:49:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 16:49:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 16:49:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 16:49:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 16:49:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 16:49:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 16:49:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 16:49:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 16:49:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 16:49:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 16:49:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 16:49:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 16:49:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 16:49:54 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 16:49:54 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 16:49:54 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 16:49:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 16:49:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 16:49:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 16:49:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 16:49:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 16:49:55 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 16:53:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 16:53:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 16:53:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 16:53:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 16:53:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 16:53:20 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 16:53:20 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 16:53:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 16:53:20 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 16:53:21 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 16:53:21 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 16:53:21 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 16:53:21 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 16:53:21 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 16:53:21 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 16:53:21 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 16:53:21 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 16:53:21 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 16:53:22 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 16:54:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 16:54:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 16:54:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 16:54:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 16:54:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 16:54:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 16:54:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 16:54:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 16:54:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 16:54:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 16:54:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 16:54:45 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 16:54:45 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 16:54:45 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 16:54:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 16:54:46 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 16:54:47 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 16:54:47 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 16:55:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 16:55:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 16:55:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 16:55:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 16:55:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 16:55:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 16:55:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 16:55:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 16:55:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 16:55:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 16:55:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 16:55:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 16:55:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 16:55:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 16:55:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 16:55:19 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 17:07:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 17:07:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 17:07:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 17:07:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 17:07:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 17:07:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 17:07:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 17:07:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 17:07:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 17:07:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 17:07:09 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 17:07:09 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 17:07:09 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 17:07:09 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 17:07:09 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 17:07:09 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 17:07:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 17:07:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 17:07:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 17:07:10 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 17:11:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 17:11:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 17:11:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 17:11:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 17:11:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 17:11:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 17:11:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 17:11:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 17:11:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 17:11:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 17:11:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 17:11:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 17:11:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 17:11:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 17:11:34 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 17:11:34 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 17:11:34 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 17:11:34 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 17:11:34 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 17:11:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 17:11:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 17:11:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 17:11:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 17:11:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 17:11:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 17:11:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 17:11:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 17:11:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 17:11:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 17:11:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 17:11:53 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 17:11:53 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 17:11:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 17:11:54 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 17:11:55 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 17:11:55 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 17:12:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 17:12:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 17:12:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 17:12:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 17:12:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 17:12:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 17:12:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 17:12:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 17:12:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 17:12:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 17:12:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 17:12:48 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 17:12:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 17:12:48 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 17:12:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 17:12:49 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 17:12:50 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 17:12:50 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 18:47:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 18:47:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 18:47:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 18:47:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 18:47:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 18:47:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 18:47:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 18:47:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 18:47:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 18:47:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 18:47:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 18:47:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 18:47:49 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 18:47:49 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 18:47:49 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 18:47:49 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 18:47:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 18:47:50 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 18:48:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 18:48:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 18:48:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 18:48:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 18:48:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 18:48:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 18:48:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 18:48:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 18:48:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 18:48:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 18:48:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 18:48:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 18:48:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 18:48:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 18:48:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 18:48:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 18:48:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 18:48:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 18:48:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 18:48:19 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 18:48:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 18:48:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 18:48:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 18:48:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 18:48:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 18:48:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 18:48:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 18:48:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 18:48:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 18:48:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 18:48:34 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 18:48:34 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 18:48:34 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 18:48:34 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 18:48:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 18:48:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 18:48:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 18:48:36 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 18:48:36 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 18:48:36 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:08:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:08:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:08:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:08:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:08:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:08:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:08:16 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:08:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:08:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:08:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:08:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:08:17 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:08:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:08:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:08:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:08:17 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:08:17 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:08:18 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:12:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:12:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:12:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:12:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:12:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:12:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:12:16 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:12:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:12:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:12:16 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:12:16 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:12:16 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:12:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:12:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:12:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:12:18 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:12:18 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:12:18 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:13:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:13:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:13:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:13:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:13:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:13:59 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:13:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:13:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:14:00 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:14:00 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:14:00 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:14:00 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:14:00 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:14:00 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:14:00 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:14:00 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:14:00 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:14:01 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:15:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:15:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:15:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:15:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:15:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:15:09 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:15:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:15:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:15:10 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:15:10 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:15:10 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:15:10 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:15:10 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:15:10 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:15:10 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:15:10 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:15:11 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:18:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:18:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:18:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:18:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:18:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:18:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:18:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:18:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:18:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:18:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:18:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:18:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:18:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:18:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:18:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:18:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:18:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:18:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:18:27 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:18:28 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:21:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:21:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:21:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:21:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:21:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:21:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:21:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:21:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:21:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:21:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:21:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:21:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:21:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:21:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:21:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:21:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:21:31 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:21:31 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:21:31 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:26:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:26:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:26:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:26:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:26:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:26:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:26:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:26:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:26:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:26:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:26:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:26:45 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:26:45 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:26:45 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:26:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:26:45 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:26:45 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:26:46 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:29:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:29:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:29:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:29:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:29:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:29:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:29:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:29:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:29:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:29:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:29:06 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:29:06 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:29:06 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:29:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:29:06 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:29:06 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:29:06 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:29:07 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:30:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:30:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:30:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:30:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:30:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:30:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:30:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:30:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:30:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:30:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:30:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:30:50 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:30:50 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:30:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:30:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:30:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:30:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:30:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:30:50 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:30:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:30:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:30:51 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:31:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:31:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:31:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:31:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:31:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:31:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:31:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:31:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:31:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:31:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:31:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:31:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:31:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:31:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:31:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:31:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:31:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:31:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:31:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:31:29 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:31:29 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:31:29 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:31:29 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:31:29 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:33:46 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:33:46 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:33:46 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:33:46 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:33:46 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:33:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:33:46 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:33:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:33:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:33:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:33:47 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:33:47 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:33:47 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:33:47 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:33:47 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:33:47 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:33:48 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:33:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:33:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:33:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:33:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:33:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:33:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:33:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:33:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:33:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:33:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:33:56 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:33:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:33:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:33:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:33:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:33:57 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:33:57 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:33:57 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:33:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:33:57 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:33:57 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:33:58 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 19:37:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 19:37:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 19:37:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 19:37:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 19:37:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 19:37:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 19:37:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 19:37:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 19:37:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 19:37:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 19:37:06 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 19:37:06 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 19:37:06 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 19:37:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 19:37:06 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 19:37:07 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 21:23:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 21:23:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 21:23:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 21:23:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 21:23:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 21:23:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 21:23:33 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 21:23:33 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 21:23:33 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 21:23:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 21:23:33 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 21:23:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 21:23:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 21:23:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 21:23:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 21:23:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 21:23:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 21:23:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 21:23:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 21:23:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 21:23:35 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 21:23:35 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 21:23:35 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 21:23:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 21:23:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 21:23:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 21:23:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 21:23:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 21:23:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 21:23:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 21:23:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 21:23:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 21:23:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 21:23:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 21:23:48 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 21:23:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 21:23:48 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 21:23:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 21:23:48 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 21:23:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 21:23:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 21:23:49 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 21:26:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 21:26:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 21:26:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 21:26:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 21:26:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 21:26:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 21:26:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 21:26:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 21:26:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 21:26:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 21:26:54 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 21:26:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 21:26:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 21:26:54 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 21:26:54 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 21:26:54 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 21:26:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 21:26:55 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 21:27:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 21:27:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 21:27:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 21:27:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 21:27:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 21:27:03 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 21:27:03 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 21:27:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 21:27:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 21:27:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 21:27:04 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 21:27:04 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 21:27:04 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 21:27:04 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 21:27:04 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 21:27:04 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 21:27:04 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 21:27:05 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 21:28:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 21:28:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 21:28:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 21:28:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 21:28:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 21:28:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 21:28:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 21:28:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 21:28:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 21:28:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 21:28:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 21:28:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 21:28:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 21:28:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 21:28:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 21:28:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 21:28:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 21:28:08 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 21:28:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 21:28:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 21:28:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 21:28:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 21:28:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 21:28:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 21:28:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 21:28:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 21:28:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 21:28:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 21:28:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 21:28:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 21:28:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 21:28:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 21:28:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 21:28:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 21:28:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 21:28:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 21:28:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 21:28:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 21:28:19 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 21:29:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 21:29:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 21:29:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 21:29:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 21:29:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 21:29:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 21:29:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 21:29:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 21:29:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 21:29:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 21:29:13 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 21:29:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 21:29:13 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 21:29:13 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 21:29:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 21:29:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 21:29:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 21:29:15 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 21:29:15 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 21:29:15 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 21:29:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 21:29:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 21:29:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 21:29:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 21:29:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 21:29:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 21:29:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 21:29:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 21:29:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 21:29:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 21:29:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 21:29:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 21:29:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 21:29:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 21:29:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 21:29:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 21:29:32 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 21:29:32 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 21:29:32 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 21:29:32 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 21:29:32 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 21:34:11 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 21:34:11 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 21:34:11 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 21:34:11 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 21:34:11 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 21:34:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 21:34:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 21:34:11 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 21:34:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 21:34:12 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 21:34:12 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 21:34:12 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 21:34:12 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 21:34:12 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 21:34:12 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 21:34:12 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 21:34:12 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 21:34:13 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 7 21:35:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 7 21:35:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 7 21:35:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 7 21:35:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 7 21:35:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 7 21:35:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 7 21:35:16 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 7 21:35:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 7 21:35:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 7 21:35:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 7 21:35:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 7 21:35:17 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 7 21:35:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 7 21:35:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 7 21:35:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 7 21:35:18 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 7 21:35:19 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 7 21:35:19 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 11:12:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 11:12:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 11:12:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 11:12:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 11:12:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 11:12:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 11:12:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 11:12:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 11:12:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 11:12:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 11:12:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 11:12:17 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 11:12:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 11:12:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 11:12:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 11:12:18 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 11:12:19 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 11:12:19 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 11:13:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 11:13:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 11:13:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 11:13:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 11:13:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 11:13:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 11:13:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 11:13:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 11:13:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 11:13:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 11:13:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 11:13:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 11:13:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 11:13:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 11:13:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 11:13:57 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 11:13:57 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 11:13:57 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 11:13:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 11:13:58 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 11:17:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 11:17:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 11:17:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 11:17:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 11:17:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 11:17:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 11:17:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 11:17:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 11:17:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 11:17:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 11:17:37 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 11:17:37 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 11:17:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 11:17:37 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 11:17:37 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 11:17:37 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 11:17:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 11:17:38 2020 FIT: data read from '' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.00805743 +/- 0.0001436 (1.783%) f = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: e f e 1.000 f -0.866 1.000 ******************************************************************************* Sun Jun 14 11:18:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 11:18:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 11:18:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 11:18:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 11:18:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 11:18:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 11:18:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 11:18:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 11:18:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 11:18:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 11:18:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 11:18:02 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 11:18:02 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 11:18:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 11:18:02 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 11:18:02 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 11:18:02 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 11:18:02 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 11:18:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 11:18:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 11:18:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 11:18:03 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 12:31:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 12:31:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 12:31:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 12:31:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 12:31:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 12:31:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 12:31:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 12:31:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 12:31:40 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 12:31:40 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 12:31:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 12:31:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 12:31:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 12:31:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 12:31:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 12:31:41 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 12:31:41 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 12:31:41 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 12:31:41 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 12:31:41 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 12:31:42 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 12:32:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 12:32:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 12:32:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 12:32:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 12:32:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 12:32:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 12:32:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 12:32:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 12:32:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 12:32:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 12:32:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 12:32:45 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 12:32:45 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 12:32:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 12:32:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 12:32:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 12:32:47 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 12:32:47 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 12:32:47 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 12:32:47 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 12:32:47 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 12:32:47 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 12:33:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 12:33:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 12:33:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 12:33:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 12:33:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 12:33:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 12:33:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 12:33:00 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 12:33:00 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 12:33:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 12:33:01 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 12:33:01 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 12:33:01 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 12:33:01 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 12:33:01 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 12:33:01 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 12:33:01 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 12:33:01 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 12:33:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 12:37:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 12:37:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 12:37:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 12:37:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 12:37:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 12:37:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 12:37:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 12:37:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 12:37:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 12:37:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 12:37:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 12:37:53 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 12:37:53 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 12:37:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 12:37:53 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 12:37:54 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 12:37:55 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 12:37:55 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 12:37:55 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 12:37:55 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Jun 14 12:37:55 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Jun 14 12:38:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 12:38:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 12:38:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 12:38:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 12:38:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 12:38:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 12:38:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 12:38:50 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 12:38:50 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 12:38:50 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 12:38:50 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 12:38:50 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 12:38:50 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 12:38:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 12:38:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 12:38:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Jun 14 12:38:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Jun 14 12:39:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 12:39:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 12:39:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 12:39:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 12:39:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 12:39:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 12:39:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 12:39:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 12:39:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 12:39:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 12:39:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 12:39:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Jun 14 12:39:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Jun 14 12:50:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 12:50:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 12:50:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 12:50:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 12:50:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 12:50:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 12:50:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 12:50:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 12:50:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 12:50:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 12:50:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 12:50:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 12:50:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 12:50:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 12:50:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 12:50:27 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 12:50:28 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 12:50:28 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 12:50:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 12:50:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Jun 14 12:50:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Jun 14 12:54:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 12:54:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 12:54:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 12:54:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 12:54:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 12:54:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 12:54:12 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 12:54:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 12:54:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 12:54:12 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 12:54:12 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 12:54:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 12:54:13 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 12:54:13 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 12:54:13 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 12:54:13 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 12:54:13 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 12:54:13 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 12:54:13 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 12:54:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Jun 14 12:54:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Jun 14 12:54:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 12:54:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 12:54:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 12:54:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 12:54:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 12:55:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 12:55:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 12:55:00 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 12:55:00 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 12:55:00 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 12:55:00 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 12:55:00 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 12:55:00 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 12:55:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 12:55:02 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 12:55:02 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 12:55:02 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 12:55:02 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 12:55:02 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 12:55:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 12:55:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Jun 14 12:55:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Jun 14 12:56:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 12:56:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 12:56:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 12:56:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 12:56:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 12:56:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 12:56:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 12:56:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 12:56:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 12:56:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 12:56:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 12:56:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 12:56:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 12:56:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 12:56:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 12:56:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 12:56:43 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 12:56:43 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 12:56:43 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 12:56:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 12:56:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Jun 14 12:56:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Jun 14 19:05:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 19:05:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 19:05:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 19:05:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 19:05:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 19:05:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 19:05:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 19:05:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 19:05:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 19:05:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 19:05:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 19:05:20 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 19:05:20 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 19:05:20 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 19:05:20 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 19:05:20 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 19:05:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 19:05:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 19:05:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 19:05:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 19:05:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Jun 14 19:05:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Jun 14 19:10:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 19:10:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 19:10:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 19:10:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 19:10:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 19:10:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 19:10:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 19:10:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 19:10:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 19:10:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 19:10:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 19:10:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 19:10:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 19:10:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 19:10:51 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 19:10:51 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 19:10:51 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 19:10:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 19:10:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Jun 14 19:10:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Jun 14 19:22:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 19:22:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 19:22:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 19:22:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 19:22:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 19:22:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 19:22:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 19:22:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 19:22:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 19:22:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 19:22:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 19:22:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 19:22:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 19:22:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 19:22:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 19:22:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 19:22:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 19:22:43 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 19:22:43 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 19:22:43 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 19:22:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 19:22:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Jun 14 19:22:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Jun 14 19:24:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Jun 14 19:24:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Jun 14 19:24:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Jun 14 19:24:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Jun 14 19:24:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Jun 14 19:24:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Jun 14 19:24:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Jun 14 19:24:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Jun 14 19:24:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Jun 14 19:24:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Jun 14 19:24:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Jun 14 19:24:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Jun 14 19:24:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Jun 14 19:24:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Jun 14 19:24:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Jun 14 19:24:26 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Jun 14 19:24:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Jun 14 19:24:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Jun 14 19:24:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Jun 14 19:24:27 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Fri Jun 26 09:39:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Jun 26 09:39:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Jun 26 09:39:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Jun 26 09:39:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Jun 26 09:39:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Jun 26 09:39:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Jun 26 09:39:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Jun 26 09:39:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Jun 26 09:39:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Jun 26 09:39:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Jun 26 09:39:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Fri Jun 26 09:39:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Fri Jun 26 09:39:49 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Fri Jun 26 09:39:49 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Fri Jun 26 09:39:49 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Fri Jun 26 09:39:50 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Fri Jun 26 09:39:51 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Fri Jun 26 09:39:51 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Fri Jun 26 09:39:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Fri Jun 26 09:39:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Fri Jun 26 09:39:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Fri Jun 26 09:48:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Fri Jun 26 09:48:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Fri Jun 26 09:48:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Fri Jun 26 09:48:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Fri Jun 26 09:48:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Fri Jun 26 09:48:05 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Fri Jun 26 09:48:05 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Fri Jun 26 09:48:05 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Fri Jun 26 09:48:05 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Fri Jun 26 09:48:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Fri Jun 26 09:48:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Fri Jun 26 09:48:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Fri Jun 26 09:48:05 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Fri Jun 26 09:48:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Fri Jun 26 09:48:07 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Fri Jun 26 09:48:07 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Fri Jun 26 09:48:07 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Fri Jun 26 09:48:07 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Fri Jun 26 09:48:07 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Fri Jun 26 09:48:07 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Fri Jun 26 09:48:07 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Fri Jun 26 09:48:07 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 18:46:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 18:46:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 18:46:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 18:46:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 18:46:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 18:46:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 18:46:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 18:46:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 18:46:51 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 18:46:51 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 18:46:51 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 18:46:52 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 18:46:52 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 18:46:52 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 18:46:52 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 18:46:52 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 18:46:52 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 18:46:52 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 18:46:52 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 18:46:52 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 18:46:52 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 18:46:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 18:48:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 18:48:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 18:48:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 18:48:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 18:48:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 18:48:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 18:48:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 18:48:38 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 18:48:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 18:48:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 18:48:38 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 18:48:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 18:48:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 18:48:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 18:48:38 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 18:48:38 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 18:48:38 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 18:48:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 18:55:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 18:55:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 18:55:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 18:55:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 18:55:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 18:55:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 18:55:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 18:55:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 18:55:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 18:55:09 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 18:55:09 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 18:55:09 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 18:55:09 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 18:55:09 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 18:55:09 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 18:55:09 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 18:55:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 18:55:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 18:55:10 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 18:56:15 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 18:56:15 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 18:56:15 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 18:56:15 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 18:56:15 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 18:56:15 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 18:56:15 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 18:56:15 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 18:56:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 18:56:16 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 18:56:16 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 18:56:16 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 18:56:16 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 18:56:16 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 18:56:16 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 18:56:16 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 18:56:16 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 18:56:17 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:02:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:02:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:02:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:02:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:02:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:02:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:02:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:02:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:02:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:02:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:02:24 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:02:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:02:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:02:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:02:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:02:24 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:02:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:02:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:04:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:04:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:04:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:04:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:04:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:04:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:04:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:04:38 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:04:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:04:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:04:38 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:04:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:04:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:04:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:04:38 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:04:38 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:04:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:06:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:06:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:06:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:06:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:06:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:06:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:06:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:06:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:06:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:06:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:06:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:06:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:06:49 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:06:49 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:06:49 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:06:49 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:06:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:06:49 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:06:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:06:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:06:50 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:07:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:07:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:07:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:07:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:07:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:07:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:07:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:07:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:07:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:07:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:07:44 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:07:44 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:07:44 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:07:44 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:07:44 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:07:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:07:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:07:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:07:46 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:07:46 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:07:46 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:07:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:07:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:07:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:09:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:09:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:09:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:09:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:09:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:09:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:09:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:09:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:09:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:09:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:09:34 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:09:34 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:09:34 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:09:34 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:09:34 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:09:35 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:10:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:10:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:10:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:10:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:10:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:10:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:10:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:10:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:10:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:10:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:10:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:10:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:10:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:10:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:10:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:10:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:10:09 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:10:09 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:10:09 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:10:09 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:10:09 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:10:09 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:11:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:11:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:11:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:11:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:11:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:11:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:11:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:11:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:11:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:11:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:11:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:11:02 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:11:02 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:11:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:11:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:11:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:11:04 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:11:04 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:11:04 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:11:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:11:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:11:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:14:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:14:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:14:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:14:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:14:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:14:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:14:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:14:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:14:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:14:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:14:25 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:14:25 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:14:25 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:14:25 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:14:25 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:14:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:14:27 2020 FIT: data read from 'moteur/data_mot_hall_poids.txt' index 1 u 4:($2*$4) format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0185440189e+09 0.00e+00 1.51e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 6.3261128131e+02 -1.76e-06 1.51e-05 -6.180050e-03 3.809240e+00 -5.568398e+01 After 9 iterations the fit converged. final sum of squares of residuals : 632.611 rel. change during last iteration : -1.76486e-11 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 14.5214 variance of residuals (reduced chisquare) = WSSR/ndf : 210.87 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00618005 +/- 0.01232 (199.3%) b = 3.80924 +/- 3.491 (91.63%) c = -55.684 +/- 239.1 (429.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.998 1.000 c 0.987 -0.996 1.000 ******************************************************************************* Tue Jun 30 19:14:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:14:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:14:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:14:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:14:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:14:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:14:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:14:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:14:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:14:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:14:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:14:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:14:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:14:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:14:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:14:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:14:43 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:14:43 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:14:43 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:14:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:14:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:14:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:14:43 2020 FIT: data read from 'moteur/data_mot_hall_poids.txt' index 1 u 4:($2*$4) format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0185440189e+09 0.00e+00 1.51e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 6.3261128131e+02 -1.76e-06 1.51e-05 -6.180050e-03 3.809240e+00 -5.568398e+01 After 9 iterations the fit converged. final sum of squares of residuals : 632.611 rel. change during last iteration : -1.76486e-11 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 14.5214 variance of residuals (reduced chisquare) = WSSR/ndf : 210.87 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00618005 +/- 0.01232 (199.3%) b = 3.80924 +/- 3.491 (91.63%) c = -55.684 +/- 239.1 (429.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.998 1.000 c 0.987 -0.996 1.000 ******************************************************************************* Tue Jun 30 19:15:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:15:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:15:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:15:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:15:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:15:52 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:15:52 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:15:52 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:15:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:15:52 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:15:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:15:53 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:15:53 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:15:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:15:53 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:15:53 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:15:53 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:15:53 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:15:53 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:15:53 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:15:54 2020 FIT: data read from 'moteur/data_mot_hall_poids.txt' index 1 u 4:($2*$4) format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0185440189e+09 0.00e+00 1.51e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 6.3261128131e+02 -1.76e-06 1.51e-05 -6.180050e-03 3.809240e+00 -5.568398e+01 After 9 iterations the fit converged. final sum of squares of residuals : 632.611 rel. change during last iteration : -1.76486e-11 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 14.5214 variance of residuals (reduced chisquare) = WSSR/ndf : 210.87 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00618005 +/- 0.01232 (199.3%) b = 3.80924 +/- 3.491 (91.63%) c = -55.684 +/- 239.1 (429.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.998 1.000 c 0.987 -0.996 1.000 ******************************************************************************* Tue Jun 30 19:20:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:20:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:20:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:20:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:20:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:20:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:20:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:20:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:20:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:20:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:20:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:20:45 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:20:45 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:20:45 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:20:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:20:45 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:20:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:20:47 2020 FIT: data read from 'moteur/data_mot_hall_poids.txt' index 1 u 4:($2*$4) format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0185440189e+09 0.00e+00 1.51e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 6.3261128131e+02 -1.76e-06 1.51e-05 -6.180050e-03 3.809240e+00 -5.568398e+01 After 9 iterations the fit converged. final sum of squares of residuals : 632.611 rel. change during last iteration : -1.76486e-11 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 14.5214 variance of residuals (reduced chisquare) = WSSR/ndf : 210.87 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00618005 +/- 0.01232 (199.3%) b = 3.80924 +/- 3.491 (91.63%) c = -55.684 +/- 239.1 (429.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.998 1.000 c 0.987 -0.996 1.000 ******************************************************************************* Tue Jun 30 19:25:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:25:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:25:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:25:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:25:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:25:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:25:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:25:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:25:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:25:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:25:31 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:25:31 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:25:31 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:25:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:25:31 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:25:32 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:25:33 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:25:33 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:25:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:25:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:25:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:25:33 2020 FIT: data read from 'moteur/data_mot_hall_poids.txt' index 1 u 4:($2*$4) format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0185440189e+09 0.00e+00 1.51e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 6.3261128131e+02 -1.76e-06 1.51e-05 -6.180050e-03 3.809240e+00 -5.568398e+01 After 9 iterations the fit converged. final sum of squares of residuals : 632.611 rel. change during last iteration : -1.76486e-11 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 14.5214 variance of residuals (reduced chisquare) = WSSR/ndf : 210.87 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00618005 +/- 0.01232 (199.3%) b = 3.80924 +/- 3.491 (91.63%) c = -55.684 +/- 239.1 (429.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.998 1.000 c 0.987 -0.996 1.000 ******************************************************************************* Tue Jun 30 19:29:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:29:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:29:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:29:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:29:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:29:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:29:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:29:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:29:51 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:29:52 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:29:52 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:29:52 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:29:52 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:29:52 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:29:52 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:29:52 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:29:52 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:29:53 2020 FIT: data read from 'moteur/data_mot_hall_poids.txt' index 1 u 4:($2*$4) format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0185440189e+09 0.00e+00 1.51e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 6.3261128131e+02 -1.76e-06 1.51e-05 -6.180050e-03 3.809240e+00 -5.568398e+01 After 9 iterations the fit converged. final sum of squares of residuals : 632.611 rel. change during last iteration : -1.76486e-11 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 14.5214 variance of residuals (reduced chisquare) = WSSR/ndf : 210.87 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00618005 +/- 0.01232 (199.3%) b = 3.80924 +/- 3.491 (91.63%) c = -55.684 +/- 239.1 (429.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.998 1.000 c 0.987 -0.996 1.000 ******************************************************************************* Tue Jun 30 19:30:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:30:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:30:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:30:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:30:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:30:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:30:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:30:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:30:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:30:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:30:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:30:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:30:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:30:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:30:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:30:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:30:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:30:33 2020 FIT: data read from 'moteur/data_mot_hall_poids.txt' index 1 u 4:($2*$4) format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0185440189e+09 0.00e+00 1.51e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 6.3261128131e+02 -1.76e-06 1.51e-05 -6.180050e-03 3.809240e+00 -5.568398e+01 After 9 iterations the fit converged. final sum of squares of residuals : 632.611 rel. change during last iteration : -1.76486e-11 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 14.5214 variance of residuals (reduced chisquare) = WSSR/ndf : 210.87 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00618005 +/- 0.01232 (199.3%) b = 3.80924 +/- 3.491 (91.63%) c = -55.684 +/- 239.1 (429.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.998 1.000 c 0.987 -0.996 1.000 ******************************************************************************* Tue Jun 30 19:30:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Jun 30 19:30:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Jun 30 19:30:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Jun 30 19:30:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Jun 30 19:30:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Jun 30 19:30:59 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Jun 30 19:30:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Jun 30 19:30:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Jun 30 19:30:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Jun 30 19:30:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Jun 30 19:30:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Jun 30 19:30:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Jun 30 19:30:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Jun 30 19:30:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Jun 30 19:31:00 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Jun 30 19:31:01 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Jun 30 19:31:01 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Jun 30 19:31:01 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Jun 30 19:31:01 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Jun 30 19:31:01 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Jun 30 19:31:01 2020 FIT: data read from 'moteur/data_mot_hall_poids.txt' index 1 u 4:($2*$4) format = x:z #datapoints = 6 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0185440189e+09 0.00e+00 1.51e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 6.3261128131e+02 -1.76e-06 1.51e-05 -6.180050e-03 3.809240e+00 -5.568398e+01 After 9 iterations the fit converged. final sum of squares of residuals : 632.611 rel. change during last iteration : -1.76486e-11 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 14.5214 variance of residuals (reduced chisquare) = WSSR/ndf : 210.87 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00618005 +/- 0.01232 (199.3%) b = 3.80924 +/- 3.491 (91.63%) c = -55.684 +/- 239.1 (429.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.998 1.000 c 0.987 -0.996 1.000 ******************************************************************************* Wed Jul 1 14:46:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Jul 1 14:46:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Jul 1 14:46:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Jul 1 14:46:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Jul 1 14:46:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Jul 1 14:46:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Jul 1 14:46:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Jul 1 14:46:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Jul 1 14:46:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Jul 1 14:46:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Jul 1 14:46:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Jul 1 14:46:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Jul 1 14:46:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Jul 1 14:46:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Jul 1 14:46:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Wed Jul 1 14:46:24 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Wed Jul 1 14:46:25 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Wed Jul 1 14:46:25 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Wed Jul 1 14:46:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Wed Jul 1 14:46:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Wed Jul 1 14:46:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Wed Jul 1 14:46:25 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 1 u 4:($2*$4) format = x:z BREAK: No data to fit ******************************************************************************* Wed Jul 1 14:48:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Jul 1 14:48:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Jul 1 14:48:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Jul 1 14:48:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Jul 1 14:48:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Jul 1 14:48:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Jul 1 14:48:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Jul 1 14:48:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Jul 1 14:48:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Jul 1 14:48:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Jul 1 14:48:14 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Jul 1 14:48:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Jul 1 14:48:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Jul 1 14:48:14 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Jul 1 14:48:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Jul 1 14:48:14 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Wed Jul 1 14:48:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Wed Jul 1 14:48:16 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Wed Jul 1 14:48:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Jul 1 14:48:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Jul 1 14:48:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Jul 1 14:48:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Jul 1 14:48:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Jul 1 14:48:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Jul 1 14:48:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Jul 1 14:48:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Jul 1 14:48:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Jul 1 14:48:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Jul 1 14:48:58 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Jul 1 14:48:58 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Jul 1 14:48:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Jul 1 14:48:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Jul 1 14:48:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Jul 1 14:49:00 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Wed Jul 1 14:49:00 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Wed Jul 1 14:49:00 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Wed Jul 1 14:49:00 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Wed Jul 1 14:49:00 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Wed Jul 1 14:49:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Wed Jul 1 14:49:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Wed Jul 1 14:49:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Wed Jul 1 14:49:00 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Wed Jul 1 14:57:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Jul 1 14:57:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Jul 1 14:57:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Jul 1 14:57:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Jul 1 14:57:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Jul 1 14:57:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Jul 1 14:57:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Jul 1 14:57:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Jul 1 14:57:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Jul 1 14:57:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Jul 1 14:57:01 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Jul 1 14:57:01 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Jul 1 14:57:01 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Jul 1 14:57:01 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Jul 1 14:57:01 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Jul 1 14:57:01 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Wed Jul 1 14:57:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Wed Jul 1 14:57:03 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Jul 25 09:22:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Jul 25 09:22:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Jul 25 09:22:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Jul 25 09:22:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Jul 25 09:22:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Jul 25 09:22:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Jul 25 09:22:24 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Jul 25 09:22:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Jul 25 09:22:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Jul 25 09:22:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Jul 25 09:22:24 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Jul 25 09:22:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Jul 25 09:22:26 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Jul 25 09:22:26 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Jul 25 09:22:26 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Jul 25 09:22:26 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Jul 25 09:22:26 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Jul 25 09:22:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Jul 25 09:22:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Jul 25 09:22:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Jul 25 09:22:26 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Jul 25 09:29:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Jul 25 09:29:09 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Jul 25 09:29:10 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Jul 25 09:29:10 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Jul 25 09:29:10 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Jul 25 09:29:10 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Jul 25 09:29:10 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Jul 25 09:29:10 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Jul 25 09:32:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Jul 25 09:32:58 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Jul 25 09:32:59 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Jul 25 09:32:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Jul 25 09:32:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Jul 25 09:32:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Jul 25 09:32:59 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Jul 25 09:38:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Jul 25 09:38:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Jul 25 09:38:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Jul 25 09:38:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Jul 25 09:38:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Jul 25 09:38:09 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Jul 25 09:38:09 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Jul 25 09:38:09 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Jul 25 09:38:09 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Jul 25 09:38:10 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Jul 25 09:38:10 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Jul 25 09:38:10 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Jul 25 09:38:10 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Jul 25 09:38:10 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Jul 25 09:38:10 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Jul 25 09:38:10 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Jul 25 09:38:10 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Jul 25 09:38:10 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Jul 25 09:38:10 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Jul 25 09:38:10 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Jul 25 09:38:10 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Jul 25 09:38:11 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Jul 25 10:20:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Jul 25 10:20:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Jul 25 10:20:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Jul 25 10:20:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Jul 25 10:20:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Jul 25 10:20:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Jul 25 10:20:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Jul 25 10:20:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Jul 25 10:20:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Jul 25 10:20:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Jul 25 10:20:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Jul 25 10:20:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Jul 25 10:20:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Jul 25 10:20:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Jul 25 10:20:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Jul 25 10:20:25 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Jul 25 10:20:25 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Jul 25 10:20:25 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Jul 25 10:20:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Jul 25 10:20:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Jul 25 10:20:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Jul 25 10:20:25 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Jul 25 10:32:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Jul 25 10:32:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Jul 25 10:32:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Jul 25 10:32:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Jul 25 10:32:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Jul 25 10:32:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Jul 25 10:32:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Jul 25 10:32:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Jul 25 10:32:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Jul 25 10:32:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Jul 25 10:32:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Jul 25 10:32:55 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Jul 25 10:32:55 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Jul 25 10:32:55 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Jul 25 10:32:55 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Jul 25 10:32:55 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Jul 25 10:32:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Jul 25 10:32:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Jul 25 10:32:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Jul 25 10:32:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Jul 25 10:32:56 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 19:53:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 19:53:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 19:53:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 19:53:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 19:53:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 19:53:46 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 19:53:46 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 19:53:46 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 19:53:46 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 19:53:46 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 19:53:46 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 19:53:46 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 19:53:46 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 19:53:46 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 19:53:46 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 19:53:47 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:09:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:09:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:09:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:09:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:09:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:09:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:09:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:09:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:09:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:09:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:09:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:09:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:09:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:09:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:09:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:09:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:09:08 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:09:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:09:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:09:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:09:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:09:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:09:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:09:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:09:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:09:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:09:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:09:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:09:56 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:10:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:10:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:10:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:10:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:10:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:10:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:10:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:10:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:10:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:10:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:10:37 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:10:37 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:10:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:10:37 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:10:37 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:10:37 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:10:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:10:37 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:10:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:10:38 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:10:40 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:10:41 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:10:42 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:10:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:10:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:10:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:10:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:10:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:10:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:10:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:10:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:10:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:10:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:10:44 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:10:44 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:10:44 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:10:44 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:10:44 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:10:44 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:10:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:10:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:10:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:10:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:10:45 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:18:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:18:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:18:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:18:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:18:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:18:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:18:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:18:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:18:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:18:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:18:22 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:18:22 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:18:22 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:18:22 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:18:22 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:18:22 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:18:22 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:18:22 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:18:22 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:18:23 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:18:25 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:18:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:18:27 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:19:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:19:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:19:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:19:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:19:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:19:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:19:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:19:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:19:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:19:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:19:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:19:45 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:19:45 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:19:45 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:19:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:19:45 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:19:45 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:19:46 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:21:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:21:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:21:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:21:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:21:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:21:50 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:21:50 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:21:50 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:21:50 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:21:51 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:21:51 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:21:51 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:21:51 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:21:51 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:21:51 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:21:51 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:21:51 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:21:51 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:21:51 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:21:51 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:21:51 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:21:52 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:23:30 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:23:30 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:23:30 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:23:30 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:23:30 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:23:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:23:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:23:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:23:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:23:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:23:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:23:32 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:24:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:24:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:24:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:24:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:24:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:24:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:24:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:24:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:24:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:24:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:24:22 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:24:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:24:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:24:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:24:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:24:23 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:24:23 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:24:23 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:24:23 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:24:23 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:24:23 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:24:24 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:25:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:25:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:25:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:25:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:25:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:25:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:25:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:25:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:25:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:25:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:25:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:25:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:25:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:25:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:25:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:25:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:25:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:25:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:25:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:25:04 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:27:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:27:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:27:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:27:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:27:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:27:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:27:03 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:27:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:27:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:27:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:27:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:27:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:27:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:27:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:27:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:27:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:27:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:27:04 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:27:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:27:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:27:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:27:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:27:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:27:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:27:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:27:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:27:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:27:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:27:06 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:27:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:27:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:27:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:27:08 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:27:08 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:27:08 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:27:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:27:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:27:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:27:08 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:28:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:28:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:28:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:28:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:28:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:28:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:28:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:28:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:28:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:28:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:28:22 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:28:22 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:28:22 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:28:22 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:28:22 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:28:22 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:28:22 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:28:22 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:28:23 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:28:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:28:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:28:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:28:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:28:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:28:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:28:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:28:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:28:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:28:25 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:28:25 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:28:25 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:28:26 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:28:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:28:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:28:27 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:28:27 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:28:27 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:28:27 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:28:27 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:28:27 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:28:27 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:33:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:33:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:33:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:33:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:33:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:33:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:33:20 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:33:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:33:20 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:33:20 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:33:20 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:33:20 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:33:20 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:33:20 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:33:20 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:33:20 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:33:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:33:21 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:34:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:34:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:34:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:34:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:34:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:34:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:34:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:34:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:34:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:34:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:34:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:34:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:34:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:34:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:34:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:34:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:34:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:34:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:34:04 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:34:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:34:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:34:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:34:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:34:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:34:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:34:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:34:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:34:55 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:34:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:34:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:34:55 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:34:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:34:57 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:34:57 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:34:57 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:34:57 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:34:57 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:34:57 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:34:57 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:34:57 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:34:57 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:34:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:34:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:34:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:34:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:34:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:34:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:34:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:34:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:34:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:34:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:34:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:34:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:34:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:34:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:34:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:34:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:34:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:34:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:35:00 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:36:13 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:36:14 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:36:15 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:36:15 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:36:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:36:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:36:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:36:15 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:36:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:36:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:36:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:36:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:36:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:36:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:36:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:36:50 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:36:50 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:36:50 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:36:50 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:36:50 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:36:50 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:36:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:36:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:36:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:36:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:36:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:36:51 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:37:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:37:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:37:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:37:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:37:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:37:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:37:33 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:37:33 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:37:33 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:37:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:37:33 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:37:33 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:37:34 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:37:34 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:37:34 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:37:34 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:37:34 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:37:34 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:37:34 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:37:34 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:37:34 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:37:35 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:37:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:37:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:37:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:37:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:37:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:37:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:37:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:37:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:37:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:37:50 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:37:50 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:37:50 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:37:50 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:37:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:37:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:37:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:37:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:37:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:37:50 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:37:51 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:38:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:38:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:38:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:38:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:38:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:38:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:38:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:38:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:38:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:38:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:38:56 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:38:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:38:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:38:56 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:38:56 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:38:56 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:38:56 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:38:57 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:39:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:39:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:39:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:39:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:39:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:39:52 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:39:52 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:39:52 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:39:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:39:52 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:39:52 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:39:52 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:39:52 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:39:52 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:39:52 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:39:52 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:39:53 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 20:41:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 20:41:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 20:41:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 20:41:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 20:41:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 20:41:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 20:41:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 20:41:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 20:41:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 20:41:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 20:41:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 20:41:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 20:41:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 20:41:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 20:41:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 20:41:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 20:41:32 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 20:41:32 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 20:41:32 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 20:41:32 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 20:41:32 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 20:41:32 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 20:41:32 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 20:41:32 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 20:41:32 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:03:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:03:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:03:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:03:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:03:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:03:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:03:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:03:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:03:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:03:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:03:24 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:03:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:03:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:03:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:03:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:03:24 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:03:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:03:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:03:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:03:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:03:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:03:25 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:03:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:03:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:03:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:03:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:03:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:03:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:03:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:03:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:03:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:03:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:03:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:03:48 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:03:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:03:48 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:03:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:03:49 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:04:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:04:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:04:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:04:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:04:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:04:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:04:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:04:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:04:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:04:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:04:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:04:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:04:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:04:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:04:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:04:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:04:28 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:06:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:06:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:06:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:06:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:06:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:06:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:06:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:06:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:06:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:06:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:06:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:06:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:06:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:06:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:06:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:06:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:06:19 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:06:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:06:19 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:06:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:06:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:06:20 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:07:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:07:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:07:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:07:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:07:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:07:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:07:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:07:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:07:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:07:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:07:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:07:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:07:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:07:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:07:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:07:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:07:19 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:07:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:07:19 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:07:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:07:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:07:20 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:09:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:09:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:09:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:09:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:09:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:09:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:09:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:09:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:09:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:09:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:09:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:09:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:09:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:09:20 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:10:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:10:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:10:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:10:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:10:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:10:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:10:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:10:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:10:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:10:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:10:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:10:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:10:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:10:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:10:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:10:30 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:10:31 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:11:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:11:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:11:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:11:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:11:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:11:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:11:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:11:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:11:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:11:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:11:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:11:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:11:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:11:21 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:11:21 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:11:21 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:11:21 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:11:21 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:11:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:11:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:11:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:11:21 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:12:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:12:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:12:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:12:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:12:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:12:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:12:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:12:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:12:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:12:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:12:56 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:12:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:12:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:12:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:12:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:12:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:12:58 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:12:58 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:12:58 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:12:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:12:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:12:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:12:58 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:13:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:13:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:13:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:13:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:13:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:13:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:13:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:13:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:13:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:13:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:13:35 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:13:35 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:13:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:13:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:13:37 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:13:37 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:13:37 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:13:37 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:13:37 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:13:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:13:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:13:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:13:37 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:16:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:16:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:16:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:16:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:16:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:16:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:16:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:16:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:16:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:16:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:16:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:16:45 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:16:45 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:16:45 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:16:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:16:45 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:16:45 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:16:45 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:16:45 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:16:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:16:46 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:17:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:17:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:17:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:17:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:17:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:17:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:17:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:17:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:17:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:17:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:17:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:17:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:17:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:17:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:17:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:17:30 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:17:31 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:18:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:18:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:18:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:18:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:18:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:18:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:18:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:18:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:18:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:18:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:18:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:18:36 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:18:36 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:18:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:18:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:18:36 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:18:36 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:18:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:18:37 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:19:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:19:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:19:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:19:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:19:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:19:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:19:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:19:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:19:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:19:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:19:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:19:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:19:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:19:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:19:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:19:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:19:32 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:19:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:19:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:19:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:19:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:19:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:19:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:19:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:19:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:19:55 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:19:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:19:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:19:55 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:19:55 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:19:55 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:19:55 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:19:55 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:19:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:19:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:19:56 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:52:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:52:25 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:52:26 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:52:26 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:52:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:52:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:52:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:52:26 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:52:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:52:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:52:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:52:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:52:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:52:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:52:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:52:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:52:28 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:52:28 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:52:28 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:52:28 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:52:28 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:52:28 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:52:28 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:52:28 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:52:28 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:52:28 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:52:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:52:29 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:53:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:53:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:53:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:53:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:53:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:53:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:53:04 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:53:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:53:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:53:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:53:04 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:53:04 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:53:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:53:06 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:53:06 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:53:06 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:53:06 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:53:06 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:53:06 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:53:06 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:53:06 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:53:06 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:53:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:53:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:53:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:53:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:53:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:53:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:53:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:53:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:53:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:53:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:53:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:53:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:53:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:53:08 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:53:08 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:53:08 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:53:08 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:53:09 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:53:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:53:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:53:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:53:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:53:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:53:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:53:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:53:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:53:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:53:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:53:44 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:53:44 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:53:44 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:53:44 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:53:44 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:53:44 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:53:45 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:55:38 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:55:38 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:55:38 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:55:38 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:55:38 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:55:39 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:55:39 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:55:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:55:39 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:55:39 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:55:39 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:55:39 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:55:39 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:55:39 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:55:39 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:55:39 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:55:40 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:55:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:55:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:55:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:55:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:55:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:55:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:55:42 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:55:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:55:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:55:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:55:43 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:55:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:55:43 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:55:43 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:55:43 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:55:43 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:55:44 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:56:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:56:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:56:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:56:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:56:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:56:39 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:56:39 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:56:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:56:39 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:56:39 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:56:39 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:56:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:56:41 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:56:41 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:56:41 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:56:41 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:56:41 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:56:41 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:56:41 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:56:41 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:56:41 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:56:42 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:56:42 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:56:42 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:56:42 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:56:42 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:56:42 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:56:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:56:43 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:56:43 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:56:43 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:56:43 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:56:43 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:56:43 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:56:43 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:56:43 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:56:43 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:56:43 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:56:44 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:57:54 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:57:55 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:57:56 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sat Aug 22 21:57:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sat Aug 22 21:57:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sat Aug 22 21:57:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sat Aug 22 21:57:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sat Aug 22 21:57:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sat Aug 22 21:57:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sat Aug 22 21:57:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sat Aug 22 21:57:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sat Aug 22 21:57:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sat Aug 22 21:57:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sat Aug 22 21:57:58 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sat Aug 22 21:57:58 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sat Aug 22 21:57:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sat Aug 22 21:57:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sat Aug 22 21:57:58 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sat Aug 22 21:57:58 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sat Aug 22 21:57:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sat Aug 22 21:57:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sat Aug 22 21:57:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sat Aug 22 21:57:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sat Aug 22 21:57:59 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:15:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:15:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:15:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:15:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:15:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:15:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:15:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:15:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:15:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:15:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:15:56 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:15:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:15:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:15:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:15:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:15:58 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:15:58 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:15:58 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:15:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:15:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:15:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:15:58 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:15:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:15:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:15:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:15:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:15:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:15:59 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:15:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:16:00 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:16:00 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:16:00 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:16:00 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:16:00 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:16:00 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:16:00 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:16:00 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:16:00 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:16:00 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:16:00 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:16:01 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:16:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:16:04 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:16:05 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:16:05 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:16:05 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:16:05 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:16:05 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:16:05 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:16:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:16:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:16:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:16:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:16:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:16:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:16:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:16:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:16:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:16:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:16:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:16:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:16:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:16:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:16:43 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:16:43 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:16:43 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:16:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:16:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:16:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:16:43 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:17:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:17:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:17:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:17:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:17:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:17:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:17:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:17:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:17:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:17:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:17:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:17:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:17:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:17:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:17:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:17:29 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:17:30 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:17:32 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:17:32 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:17:32 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:17:32 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:17:32 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:17:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:17:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:17:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:17:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:17:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:17:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:17:34 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:18:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:18:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:18:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:18:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:18:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:18:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:18:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:18:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:18:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:18:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:18:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:18:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:18:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:18:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:18:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:18:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:18:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:18:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:18:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:18:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:18:33 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:18:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:18:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:18:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:18:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:18:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:18:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:18:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:18:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:18:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:18:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:18:35 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:18:35 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:18:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:18:35 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:18:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:18:36 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:19:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:19:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:19:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:19:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:19:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:19:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:19:12 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:19:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:19:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:19:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:19:13 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:19:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:19:13 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:19:13 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:19:13 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:19:13 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:19:13 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:19:13 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:19:13 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:19:14 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:19:16 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:19:17 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:19:18 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:20:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:20:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:20:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:20:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:20:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:20:03 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:20:03 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:20:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:20:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:20:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:20:04 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:20:04 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:20:04 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:20:04 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:20:04 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:20:04 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:20:04 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:20:04 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:20:04 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:20:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:20:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:20:05 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:20:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:20:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:20:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:20:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:20:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:20:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:20:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:20:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:20:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:20:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:20:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:20:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:20:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:20:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:20:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:20:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:20:08 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:31:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:31:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:31:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:31:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:31:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:31:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:31:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:31:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:31:55 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:31:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:31:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:31:55 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:31:55 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:31:55 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:31:55 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:31:55 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:31:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:31:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:31:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:31:56 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:31:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:31:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:32:00 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:32:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:32:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:32:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:32:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:32:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:32:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:32:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:32:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:32:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:32:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:32:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:32:02 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:32:02 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:32:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:32:02 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:32:02 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:32:02 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:32:02 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:32:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:32:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:32:03 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:39:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:39:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:39:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:39:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:39:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:39:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:39:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:39:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:39:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:39:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:39:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:39:59 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 00:40:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 00:40:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 00:40:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 00:40:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 00:40:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 00:40:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 00:40:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 00:40:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 00:40:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 00:40:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 00:40:01 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 00:40:01 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 00:40:01 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 00:40:01 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 00:40:01 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 00:40:01 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 00:40:02 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:34:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:34:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:34:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:34:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:34:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:34:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:34:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:34:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:34:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:34:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:34:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:34:48 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:34:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:34:48 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:34:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:34:48 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:34:49 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:35:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:35:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:35:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:35:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:35:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:35:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:35:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:35:11 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:35:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:35:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:35:11 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:35:11 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:35:11 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:35:11 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:35:11 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:35:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:35:12 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:36:03 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:36:03 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:36:03 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:36:03 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:36:03 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:36:03 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:36:03 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:36:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:36:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:36:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:36:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:36:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:36:05 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:36:05 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:36:05 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:36:05 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:36:05 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:36:05 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:36:05 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:36:05 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:36:05 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:37:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:37:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:37:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:37:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:37:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:37:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:37:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:37:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:37:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:37:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:37:14 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:37:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:37:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:37:14 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:37:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:37:14 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:37:14 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:37:14 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:37:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:37:15 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:42:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:42:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:42:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:42:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:42:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:42:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:42:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:42:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:42:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:42:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:42:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:42:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:42:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:42:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:42:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:42:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:42:34 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:42:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:42:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:42:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:42:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:42:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:42:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:42:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:42:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:42:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:42:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:42:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:42:36 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:42:36 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:42:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:42:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:42:36 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:42:36 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:42:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:42:36 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:42:37 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:43:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:43:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:43:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:43:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:43:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:43:38 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:43:38 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:43:38 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:43:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:43:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:43:38 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:43:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:43:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:43:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:43:38 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:43:39 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:43:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:43:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:43:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:43:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:43:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:43:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:43:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:43:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:43:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:43:42 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:43:42 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:43:42 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:43:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:43:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:43:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:43:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:43:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:43:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:43:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:43:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:43:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:43:43 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:46:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:46:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:46:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:46:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:46:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:46:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:46:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:46:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:46:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:46:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:46:35 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:46:35 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:46:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:46:35 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:46:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:46:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:46:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:46:36 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:50:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:50:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:50:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:50:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:50:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:50:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:50:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:50:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:50:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:50:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:50:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:50:04 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:51:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:51:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:51:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:51:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:51:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:51:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:51:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:51:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:51:51 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:51:51 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:51:51 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:51:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:51:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:51:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:51:53 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:51:53 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:51:53 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:51:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:51:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:51:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:51:53 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:52:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:52:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:52:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:52:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:52:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:52:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:52:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:52:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:52:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:52:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:52:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:52:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:52:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:52:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:52:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:52:30 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:52:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:52:30 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:52:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:52:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:52:31 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:59:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:59:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:59:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:59:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:59:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:59:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:59:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:59:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:59:10 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:59:10 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:59:10 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:59:10 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:59:10 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:59:10 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:59:10 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:59:11 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:59:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:59:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:59:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:59:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:59:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:59:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:59:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:59:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:59:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:59:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:59:14 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:59:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:59:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:59:14 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:59:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:59:14 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:59:14 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:59:14 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:59:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:59:15 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 12:59:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 12:59:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 12:59:19 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 13:06:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 13:06:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 13:06:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 13:06:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 13:06:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 13:06:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 13:06:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 13:06:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 13:06:20 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 13:06:20 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 13:06:20 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 13:06:20 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 13:06:20 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 13:06:20 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 13:06:20 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 13:06:20 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 13:06:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 13:06:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 13:06:21 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 13:06:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 13:06:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 13:06:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 13:06:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 13:06:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 13:06:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 13:06:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 13:06:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 13:06:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 13:06:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 13:06:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 13:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 13:06:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 13:06:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 13:06:25 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 13:06:25 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 13:06:25 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 13:06:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 13:06:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 13:06:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 13:06:25 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 14:19:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 14:19:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 14:19:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 14:19:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 14:19:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 14:19:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 14:19:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 14:19:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 14:19:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 14:19:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 14:19:34 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 14:19:34 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 14:19:34 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 14:19:34 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 14:19:34 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 14:19:34 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 14:19:35 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 14:19:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 14:19:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 14:19:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 14:19:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 14:19:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 14:19:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 14:19:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 14:19:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 14:19:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 14:19:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 14:19:38 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 14:19:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 14:19:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 14:19:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 14:19:38 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 14:19:38 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 14:19:38 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 14:19:38 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 14:19:38 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 14:19:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 14:19:38 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 14:19:39 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 14:29:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 14:29:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 14:29:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 14:29:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 14:29:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 14:29:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 14:29:04 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 14:29:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 14:29:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 14:29:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 14:29:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 14:29:06 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 14:29:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 14:29:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 14:29:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 14:29:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 14:29:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 14:29:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 14:29:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 14:29:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 14:29:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 14:29:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 14:29:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 14:29:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 14:29:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 14:29:08 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 14:29:08 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 14:29:09 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:08:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:08:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:08:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:08:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:08:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:08:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:08:04 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:08:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:08:05 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:08:05 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:08:05 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:08:05 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:08:05 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:08:05 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:08:05 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:08:05 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:08:05 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:08:05 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:08:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:08:06 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:08:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:08:09 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:08:10 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:08:10 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:08:10 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:08:10 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:08:10 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:08:10 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:09:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:09:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:09:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:09:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:09:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:09:14 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:09:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:09:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:09:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:09:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:09:14 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:09:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:09:15 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:09:15 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:09:15 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:09:15 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:09:15 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:09:15 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:09:16 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:09:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:09:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:09:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:09:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:09:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:09:52 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:09:52 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:09:52 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:09:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:09:52 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:09:52 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:09:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:09:54 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:11:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:11:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:11:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:11:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:11:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:11:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:11:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:11:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:11:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:11:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:11:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:11:55 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:11:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:11:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:11:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:11:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:11:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:11:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:11:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:11:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:11:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:11:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:11:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:11:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:11:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:11:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:11:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:11:58 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:12:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:12:30 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:12:31 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:16:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:16:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:16:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:16:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:16:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:16:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:16:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:16:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:16:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:16:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:16:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:16:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:16:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:16:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:16:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:16:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:16:28 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:17:11 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:17:12 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:17:13 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:19:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:19:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:19:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:19:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:19:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:19:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:19:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:19:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:19:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:19:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:19:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:19:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:19:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:19:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:19:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:19:31 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:21:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:21:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:21:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:21:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:21:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:21:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:21:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:21:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:21:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:21:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:21:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:21:48 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:21:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:21:48 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:21:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:21:48 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:21:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:21:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:21:48 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:21:49 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:21:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:21:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:21:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:21:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:21:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:21:51 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:21:51 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:21:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:21:51 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:21:51 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:21:51 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:21:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:21:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:21:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:21:53 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:21:53 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:21:53 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:21:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:21:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:21:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:21:53 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:21:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:21:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:21:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:21:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:21:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:21:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:21:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:21:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:21:55 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:21:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:21:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:21:55 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:21:55 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:21:55 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:21:55 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:21:55 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:21:56 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:23:39 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:23:39 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:23:39 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:23:39 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:23:39 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:23:39 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:23:39 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:23:39 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:23:39 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:23:39 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:23:39 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:23:40 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:23:41 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:23:41 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:23:41 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:23:41 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:23:41 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:23:41 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:23:41 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:23:41 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:23:41 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:27:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:27:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:27:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:27:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:27:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:27:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:27:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:27:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:27:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:27:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:27:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:27:28 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:28:15 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:28:15 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:28:15 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:28:15 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:28:15 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:28:15 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:28:15 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:28:15 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:28:15 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:28:16 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:28:16 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:28:16 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:28:16 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:28:16 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:28:16 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:28:16 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:28:16 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:28:16 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:28:16 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:28:16 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:28:16 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:28:17 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:28:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:28:55 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:28:56 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:28:56 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:28:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:28:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:28:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:28:56 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:28:57 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:28:57 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:28:57 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:28:57 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:28:57 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:28:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:28:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:28:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:28:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:28:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:28:58 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:28:58 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:28:58 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:28:58 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:28:58 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:28:58 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:28:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:28:59 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 16:29:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 16:29:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 16:29:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 16:29:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 16:29:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 16:29:01 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 16:29:01 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 16:29:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 16:29:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 16:29:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 16:29:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 16:29:03 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 17:34:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 17:34:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 17:34:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 17:34:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 17:34:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 17:34:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 17:34:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 17:34:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 17:34:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 17:34:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 17:34:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 17:34:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 17:34:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 17:34:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 17:34:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 17:34:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 17:34:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 17:34:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 17:34:28 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 17:34:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 17:34:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 17:34:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 17:34:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 17:34:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 17:34:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 17:34:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 17:34:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 17:34:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 17:34:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 17:34:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 17:34:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 17:34:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 17:34:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 17:34:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 17:34:57 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 17:34:57 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 17:34:57 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 17:34:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 17:34:57 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 17:34:57 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 17:34:58 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 17:37:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 17:37:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 17:37:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 17:37:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 17:37:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 17:37:14 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 17:37:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 17:37:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 17:37:15 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 17:37:15 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 17:37:15 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 17:37:15 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 17:37:15 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 17:37:15 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 17:37:15 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 17:37:15 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 17:37:15 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 17:37:15 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 17:37:15 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 17:37:16 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 17:40:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 17:40:19 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 17:40:20 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 18:06:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 18:06:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 18:06:25 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 18:07:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 18:07:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 18:07:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 18:07:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 18:07:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 18:07:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 18:07:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 18:07:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 18:07:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 18:07:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 18:07:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 18:07:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 18:07:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 18:07:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 18:07:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 18:07:23 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 18:07:23 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 18:07:23 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 18:07:23 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 18:07:24 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 19:09:07 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 19:09:07 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 19:09:07 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 19:09:07 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 19:09:07 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 19:09:07 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 19:09:07 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 19:09:07 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 19:09:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 19:09:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 19:09:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 19:09:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 19:09:08 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 19:09:09 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 19:09:09 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 19:09:09 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 19:09:09 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 19:09:09 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 19:09:09 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 19:09:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 19:09:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 19:09:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 19:09:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 19:09:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 19:09:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 19:09:50 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 19:09:50 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 19:09:50 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 19:09:50 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 19:09:50 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 19:09:50 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 19:09:50 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 19:09:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 19:09:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 19:09:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 19:09:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 19:09:51 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 19:10:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 19:10:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 19:10:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 19:10:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 19:10:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 19:10:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 19:10:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 19:10:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 19:10:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 19:10:21 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 19:10:21 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 19:10:21 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 19:10:21 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 19:10:21 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 19:10:21 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 19:10:21 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 19:10:22 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 19:10:45 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 19:10:45 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 19:10:45 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 19:10:45 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 19:10:45 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 19:10:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 19:10:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 19:10:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 19:10:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 19:10:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 19:10:46 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 19:10:46 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 19:10:46 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 19:10:46 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 19:10:46 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 19:10:46 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 19:10:46 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 19:10:46 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 19:10:46 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 19:10:46 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 19:10:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 19:10:47 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 19:10:49 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 19:10:50 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 19:10:51 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 19:12:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 19:12:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 19:12:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 19:12:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 19:12:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 19:12:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 19:12:12 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 19:12:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 19:12:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 19:12:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 19:12:13 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 19:12:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 19:12:13 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 19:12:13 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 19:12:13 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 19:12:13 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 19:12:13 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 19:12:13 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 19:12:14 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 19:12:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 19:12:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 19:12:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 19:12:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 19:12:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 19:12:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 19:12:16 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 19:12:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 19:12:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 19:12:16 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 19:12:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 19:12:17 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 19:12:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 19:12:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 19:12:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 19:12:17 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 19:12:17 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 19:12:17 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 19:12:17 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 19:12:17 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 19:12:17 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 19:12:18 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 20:57:05 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 20:57:05 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 20:57:05 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 20:57:05 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 20:57:05 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 20:57:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 20:57:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 20:57:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 20:57:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 20:57:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 20:57:06 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 20:57:06 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 20:57:06 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 20:57:06 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 20:57:06 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 20:57:06 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 20:57:07 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 20:57:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 20:57:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 20:57:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 20:57:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 20:57:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 20:57:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 20:57:36 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 20:57:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 20:57:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 20:57:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 20:57:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 20:57:36 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 20:57:36 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 20:57:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 20:57:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 20:57:36 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 20:57:37 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 21:18:40 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 21:18:41 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 21:18:42 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 21:18:43 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 21:18:43 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 21:18:43 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 21:18:43 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 21:18:43 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 21:18:43 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 21:18:43 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 21:18:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 21:18:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 21:18:44 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 21:18:44 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 21:18:44 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 21:18:44 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 21:18:44 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 21:18:44 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 21:18:44 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 21:18:44 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 21:18:44 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 21:18:45 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 21:18:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 21:18:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 21:18:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 21:18:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 21:18:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 21:18:47 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 21:18:47 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 21:18:47 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 21:18:47 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 21:18:47 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 21:18:48 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 21:18:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 21:18:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 21:18:49 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 21:18:49 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 21:18:49 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 21:18:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 21:18:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 21:18:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 21:18:49 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 21:19:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 21:19:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 21:19:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 21:19:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 21:19:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 21:19:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 21:19:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 21:19:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 21:19:58 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 21:19:58 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 21:19:58 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 21:19:59 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 21:20:00 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 21:20:00 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 21:20:00 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 21:20:00 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 21:20:00 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 21:20:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 21:20:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 21:20:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 21:20:00 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 21:20:01 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 21:20:01 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 21:20:01 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 21:20:01 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 21:20:01 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 21:20:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 21:20:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 21:20:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 21:20:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 21:20:02 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 21:20:02 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 21:20:02 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 21:20:02 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 21:20:02 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 21:20:02 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 21:20:03 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 21:28:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 21:28:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 21:28:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 21:28:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 21:28:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 21:28:09 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 21:28:09 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 21:28:09 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 21:28:09 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 21:28:10 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 21:28:10 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 21:28:10 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 21:28:10 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 21:28:10 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 21:28:10 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 21:28:10 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 21:28:10 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 21:28:10 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 21:28:10 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 21:28:10 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 21:28:10 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 21:28:11 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 23 21:28:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 23 21:28:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 23 21:28:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 23 21:28:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 23 21:28:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 23 21:28:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 23 21:28:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 23 21:28:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 23 21:28:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 23 21:28:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 23 21:28:13 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 23 21:28:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 23 21:28:15 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Wed Aug 26 16:40:51 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Aug 26 16:40:51 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Aug 26 16:40:51 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Aug 26 16:40:51 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Aug 26 16:40:51 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Aug 26 16:40:52 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Aug 26 16:40:52 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Aug 26 16:40:52 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Aug 26 16:40:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Aug 26 16:40:52 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Aug 26 16:40:52 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Aug 26 16:40:52 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Aug 26 16:40:52 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Aug 26 16:40:52 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Aug 26 16:40:52 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Wed Aug 26 16:40:53 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Wed Aug 26 16:40:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Aug 26 16:40:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Aug 26 16:40:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Aug 26 16:40:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Aug 26 16:40:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Aug 26 16:40:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Aug 26 16:40:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Aug 26 16:40:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Aug 26 16:40:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Aug 26 16:40:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Aug 26 16:40:56 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Aug 26 16:40:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Aug 26 16:40:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Aug 26 16:40:56 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Aug 26 16:40:56 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Aug 26 16:40:56 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Aug 26 16:40:56 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Aug 26 16:40:56 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Wed Aug 26 16:40:57 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Wed Aug 26 21:43:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Aug 26 21:43:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Aug 26 21:43:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Aug 26 21:43:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Aug 26 21:43:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Aug 26 21:43:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Aug 26 21:43:16 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Aug 26 21:43:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Aug 26 21:43:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Aug 26 21:43:16 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Aug 26 21:43:16 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Aug 26 21:43:16 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Wed Aug 26 21:43:17 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Wed Aug 26 21:43:18 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Wed Aug 26 21:43:18 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Wed Aug 26 21:43:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Wed Aug 26 21:43:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Wed Aug 26 21:43:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Wed Aug 26 21:43:18 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Wed Aug 26 21:43:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Aug 26 21:43:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Aug 26 21:43:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Aug 26 21:43:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Aug 26 21:43:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Aug 26 21:43:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Aug 26 21:43:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Aug 26 21:43:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Aug 26 21:43:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Aug 26 21:43:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Aug 26 21:43:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Aug 26 21:43:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Wed Aug 26 21:43:43 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Wed Aug 26 22:03:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Aug 26 22:03:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Aug 26 22:03:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Aug 26 22:03:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Aug 26 22:03:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Aug 26 22:03:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Aug 26 22:03:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Aug 26 22:03:03 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Aug 26 22:03:03 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Aug 26 22:03:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Aug 26 22:03:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Aug 26 22:03:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Aug 26 22:03:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Aug 26 22:03:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Aug 26 22:03:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Aug 26 22:03:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Aug 26 22:03:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Aug 26 22:03:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Wed Aug 26 22:03:04 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Wed Aug 26 22:03:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Aug 26 22:03:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Aug 26 22:03:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Aug 26 22:03:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Aug 26 22:03:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Aug 26 22:03:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Aug 26 22:03:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Aug 26 22:03:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Aug 26 22:03:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Aug 26 22:03:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Aug 26 22:03:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Wed Aug 26 22:03:08 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Wed Aug 26 22:05:28 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Wed Aug 26 22:05:28 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Wed Aug 26 22:05:28 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Wed Aug 26 22:05:28 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Wed Aug 26 22:05:28 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Wed Aug 26 22:05:28 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Wed Aug 26 22:05:28 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Wed Aug 26 22:05:28 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Wed Aug 26 22:05:28 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Wed Aug 26 22:05:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Wed Aug 26 22:05:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Wed Aug 26 22:05:29 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Wed Aug 26 22:05:29 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Wed Aug 26 22:05:29 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Wed Aug 26 22:05:29 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Wed Aug 26 22:05:29 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Wed Aug 26 22:05:29 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Wed Aug 26 22:05:29 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Wed Aug 26 22:05:29 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Wed Aug 26 22:05:29 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Wed Aug 26 22:05:29 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Wed Aug 26 22:05:30 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 20:21:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 20:21:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 20:21:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 20:21:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 20:21:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 20:21:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 20:21:12 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 20:21:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 20:21:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 20:21:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 20:21:13 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 20:21:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 20:21:13 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 20:21:13 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 20:21:13 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 20:21:13 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 20:21:13 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 20:21:13 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 20:21:13 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 20:21:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 20:21:14 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 20:21:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 20:21:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 20:21:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 20:21:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 20:21:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 20:21:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 20:21:16 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 20:21:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 20:21:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 20:21:16 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 20:21:16 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 20:21:16 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 20:21:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 20:21:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 20:21:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 20:21:18 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 20:21:18 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 20:21:18 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 20:21:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 20:21:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 20:21:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 20:21:18 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 21:57:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 21:57:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 21:57:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 21:57:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 21:57:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 21:57:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 21:57:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 21:57:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 21:57:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 21:57:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 21:57:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 21:57:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 21:57:27 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 21:57:28 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 21:57:28 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 21:57:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 21:57:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 21:57:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 21:57:28 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 21:57:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 21:57:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 21:57:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 21:57:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 21:57:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 21:57:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 21:57:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 21:57:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 21:57:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 21:57:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 21:57:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 21:57:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 21:57:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 21:57:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 21:57:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 21:57:30 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 21:57:31 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 21:58:50 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 21:58:50 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 21:58:50 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 21:58:50 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 21:58:50 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 21:58:50 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 21:58:50 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 21:58:51 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 21:58:51 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 21:58:51 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 21:58:51 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 21:58:51 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 21:58:51 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 21:58:51 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 21:58:51 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 21:58:51 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 21:58:51 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 21:58:51 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 21:58:52 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 21:58:54 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 21:58:54 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 21:58:54 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 21:58:54 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 21:58:54 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 21:58:54 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 21:58:54 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 21:58:54 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 21:58:54 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 21:58:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 21:58:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 21:58:55 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 21:58:55 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 21:58:55 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 21:58:55 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 21:58:55 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 21:58:55 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 21:58:55 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 21:58:55 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 21:58:55 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 21:58:55 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 21:58:56 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 21:59:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 21:59:27 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 21:59:28 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 21:59:28 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 21:59:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 21:59:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 21:59:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 21:59:28 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 21:59:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 21:59:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 21:59:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 21:59:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 21:59:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 21:59:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 21:59:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 21:59:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 21:59:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 21:59:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 21:59:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 21:59:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 21:59:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 21:59:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 21:59:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 21:59:30 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 21:59:31 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 22:00:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 22:00:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 22:00:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 22:00:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 22:00:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 22:00:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 22:00:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 22:00:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 22:00:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 22:00:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 22:00:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 22:00:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 22:00:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 22:00:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 22:00:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 22:00:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 22:00:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 22:00:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 22:00:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 22:00:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 22:00:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 22:00:08 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 22:00:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 22:00:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 22:00:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 22:00:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 22:00:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 22:00:10 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 22:00:10 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 22:00:10 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 22:00:10 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 22:00:10 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 22:00:10 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 22:00:10 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 22:00:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 22:00:12 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 22:00:12 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 22:00:12 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 22:00:12 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 22:00:12 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 22:00:12 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 22:00:12 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 22:00:12 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 22:00:12 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 22:02:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 22:02:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 22:02:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 22:02:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 22:02:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 22:02:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 22:02:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 22:02:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 22:02:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 22:02:20 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 22:02:20 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 22:02:20 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 22:02:20 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 22:02:20 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 22:02:20 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 22:02:20 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 22:02:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 22:02:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 22:02:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 22:02:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 22:02:21 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 22:03:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 22:03:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 22:03:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 22:03:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 22:03:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 22:03:30 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 22:03:30 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 22:03:30 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 22:03:30 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 22:03:30 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 22:03:30 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 22:03:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 22:03:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 22:03:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 22:03:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 22:03:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 22:03:32 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 22:03:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 22:03:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 22:03:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 22:03:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 22:03:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 22:03:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 22:03:33 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 22:03:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 22:03:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 22:03:34 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 22:03:34 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 22:03:34 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 22:03:34 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 22:03:34 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 22:03:34 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 22:03:34 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 22:03:34 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 22:03:35 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 22:30:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 22:30:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 22:30:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 22:30:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 22:30:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 22:30:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 22:30:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 22:30:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 22:30:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 22:30:42 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 22:30:42 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 22:30:42 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 22:30:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 22:30:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 22:30:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 22:30:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 22:30:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 22:30:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 22:30:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 22:30:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 22:30:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 22:30:43 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 22:31:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 22:31:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 22:31:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 22:31:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 22:31:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 22:31:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 22:31:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 22:31:50 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 22:31:50 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 22:31:50 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 22:31:50 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 22:31:50 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 22:31:50 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 22:31:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 22:31:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 22:31:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 22:31:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 22:31:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 22:31:51 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 22:32:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 22:32:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 22:32:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 22:32:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 22:32:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 22:32:45 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 22:32:45 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 22:32:45 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 22:32:45 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 22:32:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 22:32:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 22:32:45 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 22:32:45 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 22:32:45 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 22:32:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 22:32:46 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 22:35:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 22:35:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 22:35:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 22:35:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 22:35:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 22:35:21 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 22:35:21 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 22:35:21 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 22:35:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 22:35:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 22:35:22 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 22:35:22 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 22:35:22 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 22:35:22 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 22:35:22 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 22:35:22 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 22:35:22 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 22:35:22 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 22:35:22 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 22:35:23 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Aug 30 22:37:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Aug 30 22:37:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Aug 30 22:37:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Aug 30 22:37:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Aug 30 22:37:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Aug 30 22:37:58 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Aug 30 22:37:58 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Aug 30 22:37:58 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Aug 30 22:37:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Aug 30 22:37:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Aug 30 22:37:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Aug 30 22:37:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Aug 30 22:37:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Aug 30 22:37:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Aug 30 22:37:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Aug 30 22:37:59 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Aug 30 22:37:59 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Aug 30 22:37:59 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Aug 30 22:37:59 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Aug 30 22:38:00 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Sep 13 08:53:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Sep 13 08:53:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Sep 13 08:53:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Sep 13 08:53:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Sep 13 08:53:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Sep 13 08:53:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Sep 13 08:53:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Sep 13 08:53:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Sep 13 08:53:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Sep 13 08:53:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Sep 13 08:53:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Sep 13 08:53:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Sep 13 08:53:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Sep 13 08:53:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Sep 13 08:53:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Sep 13 08:53:23 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Sep 13 08:53:23 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Sep 13 08:53:24 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Sep 13 09:02:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Sep 13 09:02:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Sep 13 09:02:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Sep 13 09:02:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Sep 13 09:02:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Sep 13 09:02:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Sep 13 09:02:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Sep 13 09:02:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Sep 13 09:02:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Sep 13 09:02:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Sep 13 09:02:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Sep 13 09:02:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Sep 13 09:02:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Sep 13 09:02:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Sep 13 09:02:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Sep 13 09:02:58 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Sep 13 11:31:33 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Sep 13 11:31:34 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Sep 13 11:31:35 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Sep 13 11:31:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Sep 13 11:31:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Sep 13 11:31:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Sep 13 11:31:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Sep 13 11:31:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Sep 13 11:31:36 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Sep 13 11:31:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Sep 13 11:31:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Sep 13 11:31:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Sep 13 11:31:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Sep 13 11:31:37 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Sep 13 11:31:37 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Sep 13 11:31:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Sep 13 11:31:37 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Sep 13 11:31:37 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Sep 13 11:31:37 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Sep 13 11:31:37 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Sep 13 11:31:38 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Sep 13 12:03:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Sep 13 12:03:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Sep 13 12:03:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Sep 13 12:03:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Sep 13 12:03:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Sep 13 12:03:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Sep 13 12:03:12 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Sep 13 12:03:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Sep 13 12:03:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Sep 13 12:03:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Sep 13 12:03:13 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Sep 13 12:03:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Sep 13 12:03:13 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Sep 13 12:03:13 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Sep 13 12:03:13 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Sep 13 12:03:13 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Sep 13 12:03:13 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Sep 13 12:03:13 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Sep 13 12:03:13 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Sep 13 12:03:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Sep 13 12:03:13 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Sep 13 12:03:14 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Sep 13 12:03:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Sep 13 12:03:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Sep 13 12:03:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Sep 13 12:03:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Sep 13 12:03:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Sep 13 12:03:16 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Sep 13 12:03:16 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Sep 13 12:03:16 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Sep 13 12:03:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Sep 13 12:03:16 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Sep 13 12:03:16 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Sep 13 12:03:16 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Sep 13 12:03:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Sep 13 12:03:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Sep 13 12:03:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Sep 13 12:03:18 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Sep 13 12:03:18 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Sep 13 12:03:18 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Sep 13 12:03:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Sep 13 12:03:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Sep 13 12:03:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Sep 13 12:03:18 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Sep 13 12:04:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Sep 13 12:04:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Sep 13 12:04:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Sep 13 12:04:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Sep 13 12:04:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Sep 13 12:04:09 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Sep 13 12:04:09 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Sep 13 12:04:09 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Sep 13 12:04:09 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Sep 13 12:04:09 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Sep 13 12:04:09 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Sep 13 12:04:10 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Sep 13 12:04:11 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Sep 13 12:04:11 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Sep 13 12:04:11 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Sep 13 12:04:11 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Sep 13 12:04:11 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Sep 13 12:04:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Sep 13 12:04:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Sep 13 12:04:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Sep 13 12:04:11 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Sep 13 12:05:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Sep 13 12:05:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Sep 13 12:05:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Sep 13 12:05:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Sep 13 12:05:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Sep 13 12:05:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Sep 13 12:05:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Sep 13 12:05:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Sep 13 12:05:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Sep 13 12:05:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Sep 13 12:05:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Sep 13 12:05:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Sep 13 12:05:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Sep 13 12:05:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Sep 13 12:05:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Sep 13 12:05:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Sep 13 12:05:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Sep 13 12:05:19 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Sep 13 12:09:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Sep 13 12:09:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Sep 13 12:09:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Sep 13 12:09:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Sep 13 12:09:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Sep 13 12:09:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Sep 13 12:09:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Sep 13 12:09:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Sep 13 12:09:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Sep 13 12:09:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Sep 13 12:09:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Sep 13 12:09:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Sep 13 12:09:27 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Sep 13 12:09:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Sep 13 12:09:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Sep 13 12:09:28 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Sep 13 12:12:29 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Sep 13 12:12:29 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Sep 13 12:12:29 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Sep 13 12:12:29 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Sep 13 12:12:29 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Sep 13 12:12:29 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Sep 13 12:12:29 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Sep 13 12:12:29 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Sep 13 12:12:29 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Sep 13 12:12:29 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Sep 13 12:12:29 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Sep 13 12:12:30 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Sep 13 12:12:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Sep 13 12:12:31 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Sep 13 12:12:31 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Sep 13 12:12:31 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Sep 13 12:12:31 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Sep 13 12:12:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Sep 13 12:12:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Sep 13 12:12:31 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Sep 13 12:12:31 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Sun Sep 13 12:14:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Sun Sep 13 12:14:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Sun Sep 13 12:14:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Sun Sep 13 12:14:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Sun Sep 13 12:14:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Sun Sep 13 12:14:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Sun Sep 13 12:14:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Sun Sep 13 12:14:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Sun Sep 13 12:14:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Sun Sep 13 12:14:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Sun Sep 13 12:14:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Sun Sep 13 12:14:53 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Sun Sep 13 12:14:53 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Sun Sep 13 12:14:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Sun Sep 13 12:14:53 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Sun Sep 13 12:14:53 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Sun Sep 13 12:14:54 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Sep 14 22:01:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Sep 14 22:01:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Sep 14 22:01:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Sep 14 22:01:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Sep 14 22:01:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Sep 14 22:01:57 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Sep 14 22:01:57 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Sep 14 22:01:57 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Sep 14 22:01:57 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Sep 14 22:01:57 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Sep 14 22:01:57 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Sep 14 22:01:57 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Sep 14 22:01:57 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Sep 14 22:01:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Sep 14 22:01:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Sep 14 22:01:58 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Sep 14 22:02:00 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Sep 14 22:02:00 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Sep 14 22:02:00 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Sep 14 22:02:00 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Sep 14 22:02:00 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Sep 14 22:02:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Sep 14 22:02:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Sep 14 22:02:01 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Sep 14 22:02:01 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Sep 14 22:02:01 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Sep 14 22:02:01 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Sep 14 22:02:01 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Sep 14 22:02:01 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Sep 14 22:02:01 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Sep 14 22:02:01 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Sep 14 22:02:01 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Sep 14 22:02:01 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Sep 14 22:02:01 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Sep 14 22:02:02 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Sep 14 22:42:08 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Sep 14 22:42:09 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Sep 14 22:42:10 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Sep 14 22:42:10 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Sep 14 22:42:10 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Sep 14 22:42:10 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Sep 14 22:42:10 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Sep 14 22:42:10 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Sep 14 22:42:11 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Sep 14 22:42:11 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Sep 14 22:42:11 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Sep 14 22:42:11 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Sep 14 22:42:11 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Sep 14 22:42:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Sep 14 22:42:12 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Sep 14 22:42:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Sep 14 22:42:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Sep 14 22:42:12 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Sep 14 22:42:12 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Sep 14 22:42:12 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Sep 14 22:42:12 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Sep 14 22:42:12 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Sep 14 22:42:12 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Sep 14 22:42:12 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Sep 14 22:42:13 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Sep 14 22:44:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Sep 14 22:44:15 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Sep 14 22:44:16 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Sep 14 22:44:16 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Sep 14 22:44:16 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Sep 14 22:44:16 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Sep 14 22:44:16 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Sep 14 22:44:16 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Sep 14 22:44:17 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Sep 14 22:44:17 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Sep 14 22:44:17 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Sep 14 22:44:17 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Sep 14 22:44:17 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Sep 14 22:44:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Sep 14 22:44:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Sep 14 22:44:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Sep 14 22:44:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Sep 14 22:44:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Sep 14 22:44:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Sep 14 22:44:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Sep 14 22:44:18 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Sep 14 22:44:18 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Sep 14 22:44:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Sep 14 22:44:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Sep 14 22:44:19 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Sep 14 22:51:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Sep 14 22:51:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Sep 14 22:51:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Sep 14 22:51:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Sep 14 22:51:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Sep 14 22:51:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Sep 14 22:51:50 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Sep 14 22:51:50 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Sep 14 22:51:50 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Sep 14 22:51:50 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Sep 14 22:51:50 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Sep 14 22:51:50 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Sep 14 22:51:50 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Sep 14 22:51:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Sep 14 22:51:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Sep 14 22:51:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Sep 14 22:51:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Sep 14 22:51:51 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Sep 14 22:57:53 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Sep 14 22:57:53 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Sep 14 22:57:53 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Sep 14 22:57:53 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Sep 14 22:57:53 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Sep 14 22:57:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Sep 14 22:57:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Sep 14 22:57:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Sep 14 22:57:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Sep 14 22:57:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Sep 14 22:57:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Sep 14 22:57:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Sep 14 22:57:55 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Sep 14 22:57:55 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Sep 14 22:57:55 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Sep 14 22:57:55 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Sep 14 22:57:55 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Sep 14 22:57:55 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Sep 14 22:57:55 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Sep 14 22:57:55 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Sep 14 22:57:55 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Sep 14 23:00:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Sep 14 23:00:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Sep 14 23:00:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Sep 14 23:00:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Sep 14 23:00:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Sep 14 23:00:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Sep 14 23:00:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Sep 14 23:00:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Sep 14 23:00:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Sep 14 23:00:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Sep 14 23:00:13 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Sep 14 23:00:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Sep 14 23:00:13 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Sep 14 23:00:13 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Sep 14 23:00:13 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Sep 14 23:00:13 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Sep 14 23:00:13 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Sep 14 23:00:14 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 19:23:16 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 19:23:16 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 19:23:16 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 19:23:16 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 19:23:16 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 19:23:17 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 19:23:17 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 19:23:17 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 19:23:17 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 19:23:17 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 19:23:17 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 19:23:17 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 19:23:17 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 19:23:17 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 19:23:18 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 19:23:19 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 19:23:20 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 19:23:20 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 19:23:20 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 19:23:20 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 19:23:20 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 19:23:20 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 19:23:20 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 19:23:20 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 19:23:21 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 19:23:21 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 19:23:21 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 19:23:21 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 19:23:21 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 19:23:21 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 19:23:21 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 19:23:21 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 19:23:21 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 19:23:21 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 19:23:21 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 19:23:22 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 19:23:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 19:23:25 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 19:23:26 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 19:23:26 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 19:23:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 19:23:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 19:23:26 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 19:23:26 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:01:49 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:01:49 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:01:49 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:01:49 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:01:49 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:01:49 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:01:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:01:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:01:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:01:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:01:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:01:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:01:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:01:51 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:01:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:01:51 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:01:51 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:01:51 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:01:51 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:01:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:01:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:01:51 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:01:51 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:01:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:01:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:01:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:01:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:01:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:01:53 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:01:53 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:01:53 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:01:53 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:01:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:01:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:01:53 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:01:53 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:01:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:01:53 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:01:54 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:03:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:03:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:03:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:03:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:03:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:03:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:03:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:03:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:03:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:03:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:03:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:03:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:03:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:03:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:03:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:03:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:03:20 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:03:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:03:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:03:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:03:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:03:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:03:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:03:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:03:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:03:23 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:03:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:03:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:03:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:03:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:03:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:03:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:03:23 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:03:23 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:03:23 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:03:23 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:03:24 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:05:15 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:05:15 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:05:15 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:05:15 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:05:15 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:05:15 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:05:15 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:05:15 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:05:16 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:05:16 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:05:16 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:05:16 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:05:16 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:05:16 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:05:16 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:05:16 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:05:16 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:05:16 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:05:16 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:05:17 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:05:19 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:05:19 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:05:19 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:05:19 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:05:19 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:05:19 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:05:19 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:05:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:05:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:05:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:05:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:05:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:05:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:05:21 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:05:21 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:05:21 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:05:21 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:05:21 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:05:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:05:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:05:21 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:05:21 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:06:02 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:06:02 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:06:02 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:06:02 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:06:02 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:06:02 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:06:02 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:06:02 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:06:02 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:06:03 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:06:03 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:06:03 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:06:03 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:06:03 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:06:03 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:06:03 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:06:03 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:06:03 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:06:03 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:06:03 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:06:04 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:06:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:06:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:06:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:06:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:06:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:06:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:06:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:06:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:06:06 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:06:06 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:06:06 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:06:06 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:06:07 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:06:08 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:06:08 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:06:08 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:06:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:06:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:06:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:06:08 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:08:04 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:08:05 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:08:06 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:19:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:19:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:19:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:19:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:19:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:19:32 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:19:32 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:19:32 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:19:32 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:19:32 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:19:32 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:19:32 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:19:32 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:19:32 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:19:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:19:33 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:19:34 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:19:35 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:19:35 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:19:35 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:19:35 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:19:35 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:19:35 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:19:35 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:19:36 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:19:36 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:19:36 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:19:36 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:19:36 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:19:36 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:19:36 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:19:36 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:19:36 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:19:36 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:19:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:19:37 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:36:40 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:36:40 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:36:40 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:36:40 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:36:40 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:36:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:36:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:36:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:36:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:36:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:36:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:36:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:36:41 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:36:41 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:36:41 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:36:41 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:36:42 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:36:44 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:36:44 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:36:44 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:36:44 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:36:44 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:36:44 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:36:44 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:36:44 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:36:44 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:36:45 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:36:45 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:36:45 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:36:45 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:36:45 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:36:45 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:36:45 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:36:45 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:36:45 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:36:45 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:36:45 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:36:46 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:37:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:37:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:37:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:37:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:37:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:37:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:37:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:37:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:37:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:37:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:37:38 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:37:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:37:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:37:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:37:38 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:37:38 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:37:38 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:37:38 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:37:38 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:37:39 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:40:12 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:40:12 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:40:12 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:40:12 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:40:12 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:40:12 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:40:12 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:40:12 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:40:12 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:40:12 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:40:12 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:40:13 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:40:14 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:42:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:42:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:42:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:42:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:42:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:42:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:42:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:42:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:42:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:42:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:42:35 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:42:35 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:42:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:42:35 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:42:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:42:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:42:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:42:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:42:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:42:36 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:43:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:43:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:43:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:43:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:43:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:43:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:43:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:43:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:43:25 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:43:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:43:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:43:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:43:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:43:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:43:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:43:26 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:43:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:43:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:43:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:43:26 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:43:27 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 20:52:22 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 20:52:22 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 20:52:22 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 20:52:22 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 20:52:22 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 20:52:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 20:52:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 20:52:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 20:52:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 20:52:23 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 20:52:23 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 20:52:23 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 20:52:23 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 20:52:23 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 20:52:23 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 20:52:23 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 20:52:23 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 20:52:23 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 20:52:23 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 20:52:23 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 20:52:23 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 20:52:24 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 21:05:55 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 21:05:55 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 21:05:55 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 21:05:55 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 21:05:55 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 21:05:55 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 21:05:55 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 21:05:55 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 21:05:55 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 21:05:55 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 21:05:55 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 21:05:56 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 21:05:57 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 21:05:57 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 21:05:57 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 21:05:57 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 21:05:57 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 21:05:57 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 21:05:57 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 21:05:57 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 21:05:57 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 21:05:58 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 21:05:58 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 21:05:58 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 21:05:58 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 21:05:58 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 21:05:59 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 21:05:59 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 21:05:59 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 21:05:59 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 21:05:59 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 21:05:59 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 21:05:59 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 21:05:59 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 21:05:59 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 21:05:59 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 21:06:00 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 21:06:01 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 21:28:31 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 21:28:32 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 21:28:33 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 21:28:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 21:28:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 21:28:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 21:28:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 21:28:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 21:28:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 21:28:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 21:28:35 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 21:28:35 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 21:28:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 21:28:35 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 21:28:35 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 21:28:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 21:28:35 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 21:28:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 21:28:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 21:28:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 21:28:36 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 21:29:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 21:29:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 21:29:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 21:29:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 21:29:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 21:29:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 21:29:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 21:29:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 21:29:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 21:29:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 21:29:35 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 21:29:35 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 21:29:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 21:29:35 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 21:29:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 21:29:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 21:29:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 21:29:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 21:29:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 21:29:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 21:29:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 21:29:36 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 21:31:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 21:31:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 21:31:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 21:31:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 21:31:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 21:31:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 21:31:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 21:31:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 21:31:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 21:31:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 21:31:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 21:31:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 21:31:42 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 21:31:43 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 21:31:43 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 21:31:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 21:31:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 21:31:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 21:31:43 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 21:32:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 21:32:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 21:32:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 21:32:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 21:32:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 21:32:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 21:32:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 21:32:19 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 21:32:19 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 21:32:19 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 21:32:19 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 21:32:19 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 21:32:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 21:32:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 21:32:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 21:32:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 21:32:19 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 21:32:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 21:32:20 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Tue Oct 13 21:32:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Tue Oct 13 21:32:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Tue Oct 13 21:32:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Tue Oct 13 21:32:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Tue Oct 13 21:32:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Tue Oct 13 21:32:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Tue Oct 13 21:32:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Tue Oct 13 21:32:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Tue Oct 13 21:32:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Tue Oct 13 21:32:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Tue Oct 13 21:32:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Tue Oct 13 21:32:48 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Tue Oct 13 21:32:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Tue Oct 13 21:32:48 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Tue Oct 13 21:32:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Tue Oct 13 21:32:48 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Tue Oct 13 21:32:49 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 19:29:34 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 19:29:34 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 19:29:34 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 19:29:34 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 19:29:34 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 19:29:34 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 19:29:34 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 19:29:34 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 19:29:34 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 19:29:35 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 19:29:35 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 19:29:35 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 19:29:35 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 19:29:35 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 19:29:35 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 19:29:35 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 19:29:35 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 19:29:35 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 19:29:35 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 19:29:35 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 19:29:35 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 19:29:36 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 19:32:23 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 19:32:23 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 19:32:23 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 19:32:23 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 19:32:23 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 19:32:23 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 19:32:23 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 19:32:23 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 19:32:24 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 19:32:24 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 19:32:24 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 19:32:24 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 19:32:24 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 19:32:24 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 19:32:24 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 19:32:24 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 19:32:24 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 19:32:24 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 19:32:24 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 19:32:25 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 19:32:27 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 19:32:27 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 19:32:27 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 19:32:27 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 19:32:27 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 19:32:27 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 19:32:27 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 19:32:27 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 19:32:27 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 19:32:27 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 19:32:27 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 19:32:27 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 19:32:28 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 19:32:29 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 19:32:29 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 19:32:29 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 19:32:29 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 19:32:29 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 19:32:29 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 19:32:29 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 19:32:29 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 19:32:29 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 19:59:09 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 19:59:09 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 19:59:09 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 19:59:09 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 19:59:09 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 19:59:09 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 19:59:09 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 19:59:09 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 19:59:09 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 19:59:10 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 19:59:10 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 19:59:10 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 19:59:10 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 19:59:10 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 19:59:10 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 19:59:10 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 19:59:10 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 19:59:10 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 19:59:10 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 19:59:10 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 19:59:10 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 19:59:11 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 19:59:13 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 19:59:14 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 19:59:15 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 19:59:15 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 19:59:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 19:59:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 19:59:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 19:59:15 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 20:24:13 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 20:24:13 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 20:24:13 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 20:24:13 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 20:24:13 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 20:24:13 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 20:24:13 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 20:24:14 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 20:24:14 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 20:24:14 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 20:24:14 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 20:24:14 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 20:24:14 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 20:24:14 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 20:24:14 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 20:24:14 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 20:24:14 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 20:24:15 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 20:39:56 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 20:39:57 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 20:39:58 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 20:39:58 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 20:39:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 20:39:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 20:39:58 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 20:39:58 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 20:39:59 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 20:39:59 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 20:39:59 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 20:39:59 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 20:39:59 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 20:40:00 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 20:40:00 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 20:40:00 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 20:40:00 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 20:40:00 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 20:40:00 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 20:40:00 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 20:40:00 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 20:40:00 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 20:40:00 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 20:40:00 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 20:40:01 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 20:40:47 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 20:40:47 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 20:40:47 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 20:40:47 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 20:40:47 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 20:40:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 20:40:48 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 20:40:48 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 20:40:48 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 20:40:48 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 20:40:48 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 20:40:48 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 20:40:48 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 20:40:48 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 20:40:48 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 20:40:48 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 20:40:49 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 20:41:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 20:41:27 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 20:41:28 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 20:41:28 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 20:41:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 20:41:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 20:41:28 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 20:41:28 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 20:42:06 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 20:42:06 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 20:42:06 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 20:42:06 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 20:42:06 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 20:42:06 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 20:42:06 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 20:42:06 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 20:42:07 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 20:42:07 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 20:42:07 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 20:42:07 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 20:42:07 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 20:42:07 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 20:42:07 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 20:42:07 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 20:42:07 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 20:42:07 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 20:42:07 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 20:42:08 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 20:42:25 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 20:42:25 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 20:42:25 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 20:42:25 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 20:42:25 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 20:42:25 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 20:42:25 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 20:42:25 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 20:42:26 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 20:42:26 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 20:42:26 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 20:42:26 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 20:42:26 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 20:42:26 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 20:42:26 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 20:42:26 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 20:42:26 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 20:42:26 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 20:42:26 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 20:42:27 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 20:43:10 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 20:43:10 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 20:43:10 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 20:43:10 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 20:43:10 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 20:43:11 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 20:43:11 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 20:43:11 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 20:43:11 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 20:43:11 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 20:43:11 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 20:43:11 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 20:43:11 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 20:43:11 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 20:43:11 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 20:43:11 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 20:43:12 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 21:04:18 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 21:04:18 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 21:04:18 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 21:04:18 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 21:04:18 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 21:04:18 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 21:04:18 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 21:04:18 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 21:04:18 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 21:04:18 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 21:04:18 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 21:04:18 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 21:04:19 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 21:04:20 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 21:04:20 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 21:04:20 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 21:04:20 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 21:04:20 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 21:04:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 21:04:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 21:04:20 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 21:04:20 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 21:04:21 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 21:04:21 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 21:04:21 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 21:04:21 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 21:04:21 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 21:04:22 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 21:04:22 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 21:04:22 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 21:04:22 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 21:04:22 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 21:04:22 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 21:04:22 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 21:04:22 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 21:04:22 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 21:04:22 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 21:04:22 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 21:04:23 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 21:17:41 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 21:17:41 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 21:17:41 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 21:17:41 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 21:17:41 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 21:17:41 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 21:17:41 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 21:17:41 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 21:17:41 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 21:17:41 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 21:17:41 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 21:17:41 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 21:17:42 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 21:17:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 21:17:43 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 21:17:43 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 21:17:43 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 21:17:43 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 21:17:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 21:17:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 21:17:43 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 21:17:43 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 21:18:48 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 21:18:48 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 21:18:48 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 21:18:48 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 21:18:48 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 21:18:48 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 21:18:49 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 21:18:49 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 21:18:49 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 21:18:49 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 21:18:49 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 21:18:49 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 21:18:49 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 21:18:49 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 21:18:49 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 21:18:49 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 21:18:49 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 21:18:50 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 21:18:52 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 21:18:52 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 21:18:52 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 21:18:52 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 21:18:52 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 21:18:52 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 21:18:52 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 21:18:52 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 21:18:52 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 21:18:53 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 21:18:53 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 21:18:53 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 21:18:53 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 21:18:53 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 21:18:53 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 21:18:53 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 21:18:53 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 21:18:53 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 21:18:53 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 21:18:53 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 21:18:54 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 21:19:36 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 21:19:36 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 21:19:36 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 21:19:36 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 21:19:36 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 21:19:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 21:19:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 21:19:37 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 21:19:37 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 21:19:37 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 21:19:37 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 21:19:37 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 21:19:37 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 21:19:37 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 21:19:37 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 21:19:38 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000 ******************************************************************************* Mon Nov 9 21:21:37 2020 FIT: data read from 'data9.txt' index 0 u 2:1 format = x:z #datapoints = 23 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5607201423e+04 0.00e+00 2.86e+01 1.000000e+00 1.000000e+00 5 4.6958804822e-04 -9.85e-04 2.86e-04 4.746321e-02 -4.043230e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.000469588 rel. change during last iteration : -9.85393e-09 degrees of freedom (FIT_NDF) : 21 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00472878 variance of residuals (reduced chisquare) = WSSR/ndf : 2.23613e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0474632 +/- 4.586e-05 (0.09663%) b = -0.000404323 +/- 0.001854 (458.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.847 1.000 ******************************************************************************* Mon Nov 9 21:21:37 2020 FIT: data read from 'data9.txt' index 1 u 2:1 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 1.7087933940e+04 0.00e+00 2.03e+01 1.000000e+00 1.000000e+00 5 4.3264632908e-03 -2.20e-06 2.03e-04 9.971824e-02 7.219920e-03 After 5 iterations the fit converged. final sum of squares of residuals : 0.00432646 rel. change during last iteration : -2.19961e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140235 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000196657 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.0997182 +/- 0.0001827 (0.1832%) d = 0.00721992 +/- 0.005246 (72.65%) correlation matrix of the fit parameters: c d c 1.000 d -0.838 1.000 ******************************************************************************* Mon Nov 9 21:21:37 2020 FIT: data read from 'data9.txt' index 2 u 2:1 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.0018487448e+04 0.00e+00 1.58e+01 1.000000e+00 1.000000e+00 5 2.0856491751e-03 -2.24e-07 1.58e-04 1.766562e-01 1.420800e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.00208565 rel. change during last iteration : -2.23656e-12 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00913378 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3426e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.176656 +/- 0.0001479 (0.08372%) f = 0.014208 +/- 0.003309 (23.29%) correlation matrix of the fit parameters: e f e 1.000 f -0.847 1.000 ******************************************************************************* Mon Nov 9 21:21:37 2020 FIT: data read from 'data9.txt' index 3 u 2:1 format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 2.3842298200e+03 0.00e+00 9.79e+00 1.000000e+00 1.000000e+00 4 2.6686117102e-01 -2.44e-02 9.79e-04 4.514436e-01 8.520609e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.266861 rel. change during last iteration : -2.44124e-07 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0913204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00833941 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.451444 +/- 0.002226 (0.4931%) h = 0.0852061 +/- 0.03074 (36.07%) correlation matrix of the fit parameters: g h g 1.000 h -0.860 1.000 ******************************************************************************* Mon Nov 9 21:21:37 2020 FIT: data read from 'data9.txt' index 4 u 2:1 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 1.1712722000e+01 0.00e+00 4.38e+00 1.000000e+00 1.000000e+00 4 4.8996086799e-02 -1.46e-04 4.38e-04 1.183835e+00 7.794710e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0489961 rel. change during last iteration : -1.45815e-09 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0385322 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00148473 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 1.18384 +/- 0.00208 (0.1757%) j = 0.0779471 +/- 0.0127 (16.29%) correlation matrix of the fit parameters: i j i 1.000 j -0.859 1.000 ******************************************************************************* Mon Nov 9 21:21:37 2020 FIT: data read from 'condo/data_condo9.txt' index 0 u 1:2 format = x:z #datapoints = 209 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.022)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2674172124e+03 0.00e+00 2.22e-01 1.000000e+00 12 4.0775757180e+00 -1.73e-01 2.22e-05 1.328736e-02 After 12 iterations the fit converged. final sum of squares of residuals : 4.07758 rel. change during last iteration : -1.7345e-06 degrees of freedom (FIT_NDF) : 208 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0196037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0132874 +/- 0.0001816 (1.367%) ******************************************************************************* Mon Nov 9 21:21:37 2020 FIT: data read from 'condo/data_condo11.txt' index 0 u 1:2 format = x:z #datapoints = 219 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=3.976*exp(-(x-0.04)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.0731872276e+03 0.00e+00 2.30e-01 1.000000e+00 15 7.9102208522e+00 -1.90e-01 2.30e-06 1.941003e-02 After 15 iterations the fit converged. final sum of squares of residuals : 7.91022 rel. change during last iteration : -1.89802e-06 degrees of freedom (FIT_NDF) : 218 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.190487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0362854 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.01941 +/- 0.0002987 (1.539%) ******************************************************************************* Mon Nov 9 21:21:38 2020 FIT: data read from 'condo/data_condo_4.7µF_11V_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 217 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=9.728*exp(-(x-0.25)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7380797597e+02 0.00e+00 1.26e+00 1.000000e+00 1.000000e+00 4 9.7030108361e-01 -1.30e-03 1.26e-04 4.646763e-01 6.826791e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.970301 rel. change during last iteration : -1.29962e-08 degrees of freedom (FIT_NDF) : 215 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0671791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00451303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.464676 +/- 0.002313 (0.4977%) b = 0.682679 +/- 0.005009 (0.7337%) correlation matrix of the fit parameters: a b a 1.000 b -0.414 1.000 ******************************************************************************* Mon Nov 9 21:21:38 2020 FIT: data read from 'condo/data_condo_2200µF_8V_471kΩ_0V.txt' index 0 u 1:2 format = x:z #datapoints = 1604 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.628-b)*exp(-(x-5.5)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.7841665648e+03 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 10 1.3671801370e+02 -9.47e-02 7.11e-11 1.300865e+02 1.042692e+00 After 10 iterations the fit converged. final sum of squares of residuals : 136.718 rel. change during last iteration : -9.4678e-07 degrees of freedom (FIT_NDF) : 1602 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.292134 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0853421 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 130.086 +/- 0.9773 (0.7512%) b = 1.04269 +/- 0.01144 (1.098%) correlation matrix of the fit parameters: a b a 1.000 b -0.681 1.000 ******************************************************************************* Mon Nov 9 21:21:38 2020 FIT: data read from 'condo/data_condo_100µF_8V_471kΩ_time.txt' index 0 u 1:2 format = x:z #datapoints = 204 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(7.484-b)*exp(-(x-2.741)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5026692889e+02 0.00e+00 7.36e-01 1.000000e+00 1.000000e+00 6 4.6344026129e-01 -2.58e-03 7.36e-07 1.180265e+01 7.061740e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.46344 rel. change during last iteration : -2.58067e-08 degrees of freedom (FIT_NDF) : 202 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0478984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00229426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.8026 +/- 0.04183 (0.3544%) b = 0.706174 +/- 0.004407 (0.624%) correlation matrix of the fit parameters: a b a 1.000 b -0.550 1.000 ******************************************************************************* Mon Nov 9 21:21:38 2020 FIT: data read from 'condo/data_condo_2_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 232 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424-b)*exp(-(x-47.341)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.8892631725e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.8466471307e+00 -6.20e-02 7.52e-07 1.288294e+01 6.807229e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.84665 rel. change during last iteration : -6.19971e-07 degrees of freedom (FIT_NDF) : 230 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0896041 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0080289 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.8829 +/- 0.06273 (0.4869%) b = 0.680723 +/- 0.007623 (1.12%) correlation matrix of the fit parameters: a b a 1.000 b -0.537 1.000 ******************************************************************************* Mon Nov 9 21:21:38 2020 FIT: data read from 'condo/data_condo_2_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 629 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.424)*exp(-(x-4.817)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.3504125119e+03 0.00e+00 5.47e-01 1.000000e+00 6 4.6519618935e+01 -1.61e-01 5.47e-07 8.831224e+00 After 6 iterations the fit converged. final sum of squares of residuals : 46.5196 rel. change during last iteration : -1.61191e-06 degrees of freedom (FIT_NDF) : 628 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.272169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0740758 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.83122 +/- 0.05868 (0.6644%) ******************************************************************************* Mon Nov 9 21:21:38 2020 FIT: data read from 'condo/data_condo_3_100µF_98.3kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 184 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.268-b)*exp(-(x-3.81)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3097607773e+02 0.00e+00 7.62e-01 1.000000e+00 1.000000e+00 5 2.9765181841e-01 -1.85e-02 7.62e-06 7.564115e+00 3.399147e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.297652 rel. change during last iteration : -1.85493e-07 degrees of freedom (FIT_NDF) : 182 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0404407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00163545 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.56412 +/- 0.0201 (0.2657%) b = 0.339915 +/- 0.003565 (1.049%) correlation matrix of the fit parameters: a b a 1.000 b -0.451 1.000 ******************************************************************************* Mon Nov 9 21:21:38 2020 FIT: data read from 'condo/data_condo_2e_100µF_446Ω.txt' index 0 u 1:2 format = x:z #datapoints = 206 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.184)*exp(-(x-5.296)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.6355326383e+03 0.00e+00 2.85e+00 1.000000e+00 6 9.4436178249e-01 -3.58e-02 2.85e-05 6.226930e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.944362 rel. change during last iteration : -3.57865e-07 degrees of freedom (FIT_NDF) : 205 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0678723 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00460664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0622693 +/- 0.0003527 (0.5664%) ******************************************************************************* Mon Nov 9 21:21:38 2020 FIT: data read from 'condo/data_condo_2_100µF_1182Ω.txt' index 0 u 1:2 format = x:z #datapoints = 190 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.232)*exp(-(x-2.831)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.4684833653e+03 0.00e+00 2.86e+00 1.000000e+00 5 1.3869307441e+00 -4.35e-02 2.86e-04 1.678671e-01 After 5 iterations the fit converged. final sum of squares of residuals : 1.38693 rel. change during last iteration : -4.35174e-07 degrees of freedom (FIT_NDF) : 189 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0856636 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00733826 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.167867 +/- 0.0007398 (0.4407%) ******************************************************************************* Mon Nov 9 21:21:38 2020 FIT: data read from 'condo/data_condo_multiΩ_100µF.txt' index 0 u 1:2 format = x:z #datapoints = 465 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.596)*exp(-(x-14.013)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 3.5471719773e+03 0.00e+00 2.19e+00 1.000000e+00 5 2.8201826145e+00 -5.59e-01 2.19e-05 7.612747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 2.82018 rel. change during last iteration : -5.59224e-06 degrees of freedom (FIT_NDF) : 464 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0779614 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00607798 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0761275 +/- 0.0004537 (0.596%) ******************************************************************************* Mon Nov 9 21:21:38 2020 FIT: data read from 'condo/data_condo_4_2200µF_455Ω.txt' index 0 u 1:2 format = x:z #datapoints = 1132 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.376)*exp(-(x-7.544)/a) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.2233502539e+02 0.00e+00 1.21e+00 1.000000e+00 4 1.5738566655e+01 -6.08e-01 1.21e-04 1.400847e+00 After 4 iterations the fit converged. final sum of squares of residuals : 15.7386 rel. change during last iteration : -6.08426e-06 degrees of freedom (FIT_NDF) : 1131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.117964 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0139156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.40085 +/- 0.003429 (0.2448%) ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'condo/data_condo_3_100µF_471kΩ.txt' index 0 u 1:2 format = x:z #datapoints = 235 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.4-b)*exp(-(x-4.338)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.6823017084e+02 0.00e+00 7.52e-01 1.000000e+00 1.000000e+00 6 1.9500160331e+00 -5.41e-02 7.52e-07 1.261432e+01 6.725610e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.95002 rel. change during last iteration : -5.40614e-07 degrees of freedom (FIT_NDF) : 233 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0914832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00836917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 12.6143 +/- 0.06302 (0.4996%) b = 0.672561 +/- 0.007643 (1.136%) correlation matrix of the fit parameters: a b a 1.000 b -0.526 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'condo/data_condo_2_0.15µF_9.94MΩ.txt' index 0 u 1:2 format = x:z #datapoints = 12 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=(9.040-b)*exp(-(x-7.309)/a)+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.2781648500e+02 0.00e+00 2.78e-01 1.000000e+00 1.000000e+00 16 2.8220988428e-01 -7.60e-01 2.78e-05 1.601836e-02 7.025640e-01 After 16 iterations the fit converged. final sum of squares of residuals : 0.28221 rel. change during last iteration : -7.60211e-06 degrees of freedom (FIT_NDF) : 10 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167991 variance of residuals (reduced chisquare) = WSSR/ndf : 0.028221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0160184 +/- 0.0006428 (4.013%) b = 0.702564 +/- 0.08142 (11.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.706 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_9V_8piles.txt' index 1 u 1:2 format = x:z #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.5728850180e+03 0.00e+00 4.04e+00 1.000000e+00 1.000000e+00 4 3.3171855516e-04 -7.49e-03 4.04e-04 6.496871e-03 8.841037e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.000331719 rel. change during last iteration : -7.48597e-08 degrees of freedom (FIT_NDF) : 33 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0031705 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00521e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00649687 +/- 0.0001058 (1.628%) b = 8.84104 +/- 0.0005947 (0.006727%) correlation matrix of the fit parameters: a b a 1.000 b 0.434 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_9V_accu9V.txt' index 0 u 1:2 format = x:z #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4114284640e+03 0.00e+00 5.41e+00 1.000000e+00 1.000000e+00 4 4.9661673152e-01 -2.24e-04 5.41e-04 2.145791e-01 8.380084e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.496617 rel. change during last iteration : -2.24325e-09 degrees of freedom (FIT_NDF) : 25 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198647 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.214579 +/- 0.003925 (1.829%) b = 8.38008 +/- 0.02978 (0.3554%) correlation matrix of the fit parameters: a b a 1.000 b 0.413 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 0 u 1:2 format = x:z #datapoints = 17 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7018212120e+04 0.00e+00 4.09e+01 1.000000e+00 1.000000e+00 5 2.9726543909e-01 -1.29e-05 4.09e-04 1.533904e-02 2.921750e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.297265 rel. change during last iteration : -1.29012e-10 degrees of freedom (FIT_NDF) : 15 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.140775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0198177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015339 +/- 0.0006715 (4.378%) b = 2.92175 +/- 0.03885 (1.33%) correlation matrix of the fit parameters: a b a 1.000 b 0.477 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.5896316500e+02 0.00e+00 2.38e+00 1.000000e+00 1.000000e+00 4 1.5029358577e-01 -2.08e-02 2.38e-04 1.204957e+00 5.334298e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.150294 rel. change during last iteration : -2.08323e-07 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0940255 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0088408 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 1.20496 +/- 0.03255 (2.702%) d = 5.3343 +/- 0.1049 (1.966%) correlation matrix of the fit parameters: c d c 1.000 d 0.979 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 2 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 1.1026521810e+03 0.00e+00 4.57e+00 1.000000e+00 1.000000e+00 4 3.6127448467e-02 -5.94e-01 4.57e-04 5.425424e-01 5.818275e+00 After 4 iterations the fit converged. final sum of squares of residuals : 0.0361274 rel. change during last iteration : -5.93955e-06 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460993 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00212514 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.542542 +/- 0.004642 (0.8556%) f = 5.81828 +/- 0.02963 (0.5093%) correlation matrix of the fit parameters: e f e 1.000 f 0.934 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 3 u 1:2 format = x:z #datapoints = 22 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.3033114845e+04 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 2.6167615962e-02 -1.73e-06 1.20e-04 9.884675e-03 8.988299e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0261676 rel. change during last iteration : -1.72567e-11 degrees of freedom (FIT_NDF) : 20 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0361715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00130838 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.00988468 +/- 0.001118 (11.31%) h = 8.9883 +/- 0.019 (0.2114%) correlation matrix of the fit parameters: g h g 1.000 h 0.914 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 4 u 1:2 format = x:z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 2.1941732736e+05 0.00e+00 1.48e+02 1.000000e+00 1.000000e+00 6 3.3811448705e-03 -1.95e-07 1.48e-04 1.333786e-03 1.350115e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.00338114 rel. change during last iteration : -1.95308e-12 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0335715 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00112705 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00133379 +/- 8.224e-05 (6.166%) j = 1.35011 +/- 0.01724 (1.277%) correlation matrix of the fit parameters: i j i 1.000 j 0.491 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_s.txt' index 5 u 1:2 format = x:z #datapoints = 24 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 1.1920764931e+05 0.00e+00 4.98e+01 1.000000e+00 1.000000e+00 5 1.6352278550e-01 -1.38e-06 4.98e-04 1.918840e-03 1.509993e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.163523 rel. change during last iteration : -1.37555e-11 degrees of freedom (FIT_NDF) : 22 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.086214 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00743285 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00191884 +/- 0.0002576 (13.42%) l = 1.50999 +/- 0.01815 (1.202%) correlation matrix of the fit parameters: k l k 1.000 l 0.245 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 0 u 1:2 format = x:z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=-a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1754161604e+04 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 2.2184514275e-04 -3.74e-04 1.10e-04 5.753069e-03 9.525259e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000221845 rel. change during last iteration : -3.74124e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00341703 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16761e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00575307 +/- 0.0001351 (2.348%) b = 9.52526 +/- 0.002105 (0.02209%) correlation matrix of the fit parameters: a b a 1.000 b 0.935 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 1 u 1:2 format = x:z #datapoints = 19 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=-c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 4.7366067580e+03 0.00e+00 8.95e+00 1.000000e+00 1.000000e+00 5 4.5466339979e-01 -2.92e-09 8.95e-05 3.326554e-01 8.797115e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.454663 rel. change during last iteration : -2.91802e-14 degrees of freedom (FIT_NDF) : 17 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.163539 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0267449 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.332655 +/- 0.006661 (2.002%) d = 8.79712 +/- 0.08407 (0.9556%) correlation matrix of the fit parameters: c d c 1.000 d 0.895 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 2 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=-e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.4534160500e+02 0.00e+00 3.54e+00 1.000000e+00 1.000000e+00 5 3.9451608480e-01 -8.86e-10 3.54e-05 1.429865e+00 9.408161e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.394516 rel. change during last iteration : -8.86454e-15 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.167868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0281797 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 1.42986 +/- 0.04621 (3.232%) f = 9.40816 +/- 0.2266 (2.408%) correlation matrix of the fit parameters: e f e 1.000 f 0.983 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 3 u 1:2 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: i(x) i(x)=-g*x+h fitted parameters initialized with current variable values iter chisq delta/lim lambda g h 0 1.2515204226e+04 0.00e+00 1.57e+01 1.000000e+00 1.000000e+00 5 1.6336968477e-02 -1.55e-05 1.57e-04 6.865367e-02 9.266962e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.016337 rel. change during last iteration : -1.54699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0341603 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00116693 Final set of parameters Asymptotic Standard Error ======================= ========================== g = 0.0686537 +/- 0.0007023 (1.023%) h = 9.26696 +/- 0.0156 (0.1683%) correlation matrix of the fit parameters: g h g 1.000 h 0.837 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 4 u 1:2 format = x:z #datapoints = 14 residuals are weighted equally (unit weight) function used for fitting: j(x) j(x)=-i*x+j fitted parameters initialized with current variable values iter chisq delta/lim lambda i j 0 8.7425614790e+03 0.00e+00 1.20e+01 1.000000e+00 1.000000e+00 5 3.4645786892e-04 -1.55e-03 1.20e-04 4.750251e-03 9.562957e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.000346458 rel. change during last iteration : -1.55376e-08 degrees of freedom (FIT_NDF) : 12 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00537322 variance of residuals (reduced chisquare) = WSSR/ndf : 2.88715e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== i = 0.00475025 +/- 0.0002185 (4.599%) j = 9.56296 +/- 0.003704 (0.03874%) correlation matrix of the fit parameters: i j i 1.000 j 0.922 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'gene/data_gene_9V_charge.txt' index 5 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=-k*x+l fitted parameters initialized with current variable values iter chisq delta/lim lambda k l 0 7.2563335660e+03 0.00e+00 1.10e+01 1.000000e+00 1.000000e+00 5 6.9518049951e-04 -4.52e-04 1.10e-04 6.629991e-03 9.610343e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.00069518 rel. change during last iteration : -4.51855e-09 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00794973 variance of residuals (reduced chisquare) = WSSR/ndf : 6.31982e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== k = 0.00662999 +/- 0.0003673 (5.54%) l = 9.61034 +/- 0.005712 (0.05944%) correlation matrix of the fit parameters: k l k 1.000 l 0.922 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 0 u 2:1 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x/1000+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.7404291741e+01 0.00e+00 7.16e-01 1.000000e+00 1.000000e+00 4 3.5022580958e-05 -4.79e-02 7.16e-05 1.177136e+00 -8.628364e-03 After 4 iterations the fit converged. final sum of squares of residuals : 3.50226e-05 rel. change during last iteration : -4.79148e-07 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0014795 variance of residuals (reduced chisquare) = WSSR/ndf : 2.18891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.17714 +/- 0.005721 (0.486%) b = -0.00862836 +/- 0.0008907 (10.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.920 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'moteur/data_2mot_bloques.txt' index 1 u 2:1 format = x:z #datapoints = 62 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x/1000+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 2.0631080103e+01 0.00e+00 7.14e-01 1.000000e+00 1.000000e+00 4 2.2251681293e-01 -8.98e-07 7.14e-05 3.168535e+00 1.910985e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.222517 rel. change during last iteration : -8.97691e-12 degrees of freedom (FIT_NDF) : 60 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0608984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00370861 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 3.16854 +/- 0.09805 (3.094%) d = 0.191098 +/- 0.01412 (7.388%) correlation matrix of the fit parameters: c d c 1.000 d -0.837 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'moteur/data_mot_inconnu_bloque.txt' index 1 u 2:1 format = x:z #datapoints = 127 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x/1000+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 4.0047819170e+01 0.00e+00 7.21e-01 1.000000e+00 1.000000e+00 4 9.4498610457e-02 -3.19e-08 7.21e-05 3.470791e+00 6.678262e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.0944986 rel. change during last iteration : -3.18533e-13 degrees of freedom (FIT_NDF) : 125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0274953 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000755989 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 3.47079 +/- 0.02518 (0.7254%) f = 0.0667826 +/- 0.00498 (7.457%) correlation matrix of the fit parameters: e f e 1.000 f -0.872 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'moteur/data_mot_hall_inconnu_TOP.txt' index 1 u 1:2 format = x:z #datapoints = 43 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x+b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1136934242e+06 0.00e+00 1.91e+02 1.000000e+00 1.000000e+00 5 6.9228364069e-01 -8.39e-01 1.91e-03 7.853209e-03 3.137170e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.692284 rel. change during last iteration : -8.3872e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.129942 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016885 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00785321 +/- 0.0001619 (2.062%) b = 0.313717 +/- 0.04381 (13.97%) correlation matrix of the fit parameters: a b a 1.000 b -0.892 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'moteur/data_mot_hall_3.txt' index 0 u 1:2 format = x:z #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x)=c*x+d fitted parameters initialized with current variable values iter chisq delta/lim lambda c d 0 3.0810086656e+06 0.00e+00 1.64e+02 1.000000e+00 1.000000e+00 5 8.9902511783e-01 -7.19e-02 1.64e-03 8.057431e-03 2.243409e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.899025 rel. change during last iteration : -7.1939e-07 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.126704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.016054 Final set of parameters Asymptotic Standard Error ======================= ========================== c = 0.00805743 +/- 0.0001436 (1.783%) d = 0.224341 +/- 0.03327 (14.83%) correlation matrix of the fit parameters: c d c 1.000 d -0.866 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 0 u 1:2 format = x:z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x)=e*x+f fitted parameters initialized with current variable values iter chisq delta/lim lambda e f 0 6.3504812764e+04 0.00e+00 6.68e+01 1.000000e+00 1.000000e+00 6 1.4775760417e-03 -8.04e-07 6.68e-05 1.862299e-03 -1.608247e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.00147758 rel. change during last iteration : -8.04492e-12 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0171906 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000295515 Final set of parameters Asymptotic Standard Error ======================= ========================== e = 0.0018623 +/- 0.0002086 (11.2%) f = -0.0160825 +/- 0.01971 (122.5%) correlation matrix of the fit parameters: e f e 1.000 f -0.944 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 1 u 1:2 format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x)=m*x+n fitted parameters initialized with current variable values iter chisq delta/lim lambda m n 0 1.6814699211e+05 0.00e+00 8.70e+01 1.000000e+00 1.000000e+00 6 1.2310386069e-01 -7.88e-08 8.70e-05 1.980175e-03 1.123033e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.123104 rel. change during last iteration : -7.88337e-13 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116954 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0136782 Final set of parameters Asymptotic Standard Error ======================= ========================== m = 0.00198018 +/- 0.001043 (52.69%) n = 0.112303 +/- 0.1284 (114.3%) correlation matrix of the fit parameters: m n m 1.000 n -0.962 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'moteur/data_mot_hall_k_Opitec.txt' index 2 u 1:2 format = x:z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: l(x) l(x)=o*x+p fitted parameters initialized with current variable values iter chisq delta/lim lambda o p 0 4.3914358104e+05 0.00e+00 1.30e+02 1.000000e+00 1.000000e+00 6 1.9545088442e-02 -1.83e-05 1.30e-04 2.158833e-03 1.681863e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0195451 rel. change during last iteration : -1.83201e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0421524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00177683 Final set of parameters Asymptotic Standard Error ======================= ========================== o = 0.00215883 +/- 0.0002479 (11.48%) p = 0.168186 +/- 0.04546 (27.03%) correlation matrix of the fit parameters: o p o 1.000 p -0.966 1.000 ******************************************************************************* Mon Nov 9 21:21:39 2020 FIT: data read from 'moteur/data_mot_hall_poids2.txt' index 0 u 4:($2*$4) format = x:z #datapoints = 11 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.3875250955e+10 0.00e+00 2.70e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 1.6603051017e+05 -1.42e-07 2.70e-05 -3.819695e-02 1.493374e+01 -8.668106e+02 After 9 iterations the fit converged. final sum of squares of residuals : 166031 rel. change during last iteration : -1.41811e-12 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 144.062 variance of residuals (reduced chisquare) = WSSR/ndf : 20753.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0381969 +/- 0.02249 (58.87%) b = 14.9337 +/- 8.603 (57.61%) c = -866.811 +/- 778.2 (89.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.995 1.000 c 0.972 -0.990 1.000